Electrophysiological Properties and Input-Output Organization of Callosal Neurons in Cat Association Cortex

Size: px
Start display at page:

Download "Electrophysiological Properties and Input-Output Organization of Callosal Neurons in Cat Association Cortex"

Transcription

1 J Neurophysiol 89: , 2003; /jn Electrophysiological Properties and Input-Output Organization of Callosal Neurons in Cat Association Cortex YOUSSOUF CISSÉ, FRANÇOIS GRENIER, IGOR TIMOFEEV, AND MIRCEA STERIADE Laboratory of Neurophysiology, Faculty of Medicine, Laval University, Québec G1K 7P4, Canada Submitted 30 September 2002; accepted in final form 23 November 2002 Cissé, Youssouf, François Grenier, Igor Timofeev, and Mircea Steriade. Electrophysiology properties and input-output organization of callosal neurons in cat association cortex. J Neurophysiol 89: , 2003; /jn Intracellular recordings from association cortical areas 5 and 7 were performed in cats under barbiturate or ketamine-xylazine anesthesia to investigate the activities of different classes of neurons involved in callosal pathways, which were electrophysiologically characterized by depolarizing current steps. Excitatory postsynaptic potentials (EP- SPs), inhibitory postsynaptic potentials (IPSPs), and/or antidromic responses were elicited by stimulating homotopic sites in the contralateral cortical areas. Differential features of EPSPs related to latencies, amplitudes, and slopes were detected in closely located (50 m or less) neurons recorded in succession along the same electrode track. In contrast to synchronous thalamocortical volleys that excited most neurons within a cortical column, stimuli applied to homotopic sites in the contralateral cortex activated neurons at restricted cortical depths. Median latencies of callosally evoked EPSPs were 1.5 to 4 ms in various cortical cell-classes. Fast-rhythmic-bursting neurons displayed EPSPs whose amplitudes were threefold larger, and latencies two- or threefold shorter, than those found in the three other cellular classes. Converging callosal and thalamic inputs were recorded in the same cortical neuron. EPSPs or IPSPs were elicited by stimulating foci spaced by 1 mm in the contralateral cortex. In the overwhelming majority of neurons, latencies of antidromic responses were between 1.2 and 3.1 ms; however, some callosal neurons had much longer latencies, 18.5 ms. Some neurons were excited monosynaptically through the callosal pathway and identified antidromically from appropriate thalamic nuclei, thus revealing a callosal-corticothalamic pathway. Data are discussed in relation to the commissural spread of fast and slow normal oscillations as well as paroxysmal activities. INTRODUCTION The callosal projection plays a crucial role in sensory-motor integrative functions of the two hemispheres (Berlucchi et al. 1995; Innocenti 1994; Innocenti et al. 1995; Seymour et al. 1994) and the interhemispheric coherent activity of different oscillatory types in animals and humans, within fast-frequency range in brain-activated states of waking and rapid eye movement (REM) sleep (Engel et al. 1991; Kiper et al. 1999; Knyazeva et al. 1999; Nuñez et al. 1992) and within lowfrequency range in different phases of slow-wave sleep (Bremer et al. 1956; Steriade et al., 1993a, 2001). Morphological and physiological studies have reported different features of the callosal projection, such as the Address reprint requests to M. Steriade ( mircea.steriade@phs.ulaval.ca). following: 1) the location of corpus callosum neurons mainly in cortical layers II/III but also in infragranular layers, among them layer V, in different neocortical areas (Barbaresi et al. 1989, 1994; Kasper et al., 1994; Matsubara et al. 1996; Milleret et al. 1994; Porter and White 1986; White and Czeiger 1991); 2) although the strict topography of this commissural pathway is usually emphasized, other studies indicate that the trajectories followed by callosal axons of each investigated area do not obey the rules of a strictly topographically ordered projection (Clarke et al. 1995), are extremely divergent (Clasca et al. 2000; Matsunami et al. 1994), and are not mirror-symmetric with respect to the midline (Olavarria 1996); 3) callosal neurons have significantly greater spine density and more complex apical and basal dendritic arbors than neurons with ipsilateral cortical projections (Soloway et al. 2002); also, callosal neurons have a different ultrastructure and synaptology compared with corticothalamic neurons (Farinas and DeFelipe 1991); 4) separate patches of thalamic and ipsilateral association axons are largely complementary on callosal neurons (Pandya and Rosene 1993); and 5) some properties of callosal neurons (Miller 1975; Swadlow 1985) and the suppressing effect of callosal volleys on the background firing of cortical neurons (Renaud et al. 1974) were studied with extracellular recordings, while intracellular studies of these neurons were used in experiments with conditioning procedures (Baranyi and Feher 1981). In contrast to these numerous data related to the structural characteristics, connectivity, and some physiological properties of commissural neocortical cells, these neurons were not yet investigated with intracellular recordings to reveal differential types of responses to callosal volleys in electrophysiologically identified neuronal classes and their connectivity features in intact cortical and corticothalamic loops. The aims of the present study were to characterize excitatory and inhibitory postsynaptic potentials (EPSPs, IPSPs) in receiver and projection neurons of the callosal projection as a function of various neuronal types characterized by their responses to depolarizing current steps, to reveal converging callosal and thalamic inputs onto the same cortical neuron, and to test the presence of neurons implicated in the callosal-corticothalamic pathway of cat, as previously The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact /03 $5.00 Copyright 2003 The American Physiological Society

2 PROPERTIES OF CALLOSAL NEURONS IN ASSOCIATION CORTEX 1403 shown with extracellular recordings in behaving macaque monkeys (Steriade et al. 1974). METHODS Experiments were conducted on 35 adult cats, under ketaminexylazine anesthesia (10 15 and 2 3 mg/kg im, respectively) (n 19) or pentobarbital sodium (35 mg/kg, ip) (n 16). The animals were paralyzed with gallamine triethiodide after the electroencephalogram (EEG) showed typical signs of deep general anesthesia, consisting of a slow oscillation (0.5 1 Hz) under ketamine-xylazine anesthesia or sequences of spindle waves (7 14 Hz) under barbiturate anesthesia. Supplementary doses of anesthetics were administered at the slightest changes toward activated EEG patterns. The cats were ventilated artificially with the control of end-tidal CO 2 at %. The body temperature was maintained at C and the heart rate was approximately beats/min. Stability of intracellular recordings was ensured by the drainage of cisterna magna, hip suspension, bilateral pneumothorax, and by filling the hole made for recordings with a solution of 4% agar. Intracellular recordings from suprasylvian association areas 5 and 7 were performed using glass micropipettes filled with a solution of 3 M potassium acetate (KAc). A high-impedance amplifier with active bridge circuitry was used to record the membrane potential (V m ) and inject current into the neurons. Location of neurons was estimated by micromanipulator readings that differ by 15% from the position of Lucifer yellow-stained (Steriade et al. 1993a) or Neurobiotin-stained (Contreras and Steriade 1995) neurons. Field potentials were recorded in the vicinity of impaled neurons, using bipolar coaxial electrodes, with the ring (pial surface) and the tip (cortical depth) separated by mm. Stimulating electrodes (similar to those used for field potential recordings) were inserted in homotopic points of the contralateral areas 5 and 7, as well as into thalamic nuclei that provide inputs to, and are targets of, cortical areas 5 and 7, namely lateroposterior (LP) and intralaminar centrolateral (CL) nuclei (see Steriade et al. 1997). At the end of experiments, the cats were given a lethal dose of pentobarbital sodium. The experimental protocol was approved by the Committee for Animal Utilization of Laval University, permission nr RESULTS Database and neuronal identification We intracellularly recorded 545 cortical neurons. Of those, 98 were responsive to stimulation of homotopic sites in the contralateral cortex; 58 were responsive under ketamine-xylazine anesthesia, and 40 were responsive under barbiturate anesthesia. As no significant differences in postsynaptic potentials (PSPs) and/or antidromic responses were observed between these two groups of experiments, hereafter, we mention the anesthetic condition only in the legends of figures. Also, no notable difference was detected between area 5 and area 7 neurons. Four classes of neurons responsive to callosal stimulation were identified electrophysiologically, according to their responses to depolarizing current pulses, in-line with previous in vitro (reviewed in Connors and Gutnick 1990) and in vivo (Gray and McCormick 1996; Nuñez et al. 1993; Steriade et al. 1998b) studies. Regular-spiking (RS) neurons (n 74) displayed trains of single spikes that adapted quickly or slowly to maintained stimulation. Fast-rhythmic-bursting (FRB) neurons (n 10) gave rise to high-frequency ( Hz) spikebursts recurring at fast (30 50 Hz) rates. Fast-spiking (FS) neurons (n 7) fired thin action potentials and sustained tonically high firing rates without frequency adaptation. Intrinsically bursting (IB) neurons (n 7) generated clusters of action potentials, with clear spike inactivation, followed by hyperpolarization and neuronal silence. Examples of neurons belonging to these categories are illustrated with their responses to direct depolarization in different figures. Neurons responsive to contralateral cortical stimulation were located at depths between 0.3 and 1.5 mm. Characteristics of EPSPs and IPSPs of callosal origin In 87 of 98 responsive neurons, stimuli applied to homotopic sites in the contralateral areas 5 or 7 were used to elicit EPSPs that were subthreshold for giving rise to action potentials. EPSPs latencies usually ranged between 1.3 and 4.5 ms. Latencies as long as ms (neuron at 0.8 mm in Fig. 7A4) did not necessarily reflect polysynaptic pathways because antidromic response latencies in callosal neurons could be as long as 18.5 ms (see following text), indicating that some callosal neurons have very slow conduction velocities. At the resting membrane potentials (V m s) of 60 to 80 mv, which were usually seen in our experiments, the amplitudes of EPSPs ranged from 1 to 4.3 mv (but much higher in FRB neurons; see following text) and they displayed simple (Fig. 1, A-B) or compound configurations; in the latter case, they consisted of successive depolarizations (Fig. 1D). In some instances, a small-amplitude negativity was detected before the EPSP, with onset latency at ms (Fig. 1C; Fig. 2B2), likely reflecting intracellularly the field presynaptic volley. Different features of EPSPs, related to latencies, amplitudes, and slopes, have been detected in closely located neurons recorded in succession along the same micropipette track. Such variations in neurons separated by 50 m or less were observed not only under ketamine-xylazine anesthesia, which produces active states associated with rich background activity, but also during the interspindle lulls of barbiturate anesthesia, during which the spontaneous field and cellular activity are negligible (Fig. 2). Differences between EPSPs in the four electrophysiologically defined cellular classes were analyzed in a sample of 54 neurons that could be recorded for long enough periods of time to be characterized by depolarizing current pulses and by their responses to stimulation of homotopic sites in the contralateral association cortex (Fig. 3). FRB neurons exhibited callosally evoked EPSPs whose amplitudes were more than threefold as large (median, 11.3 mv) as RS, IB, and FS neurons (medians, mv). These differences were statistically significant between FRB and RS (P 0.001, t-test), FRB and IB (P 0.01), and FRB and FS (P 0.04) neurons. As well, the median latencies of EPSPs, measured at their onset, were much shorter in FRB cells (median, 1.35 ms) than in RS (4 ms) and FS or IB neurons (2.5 ms) neurons (Fig. 3). The differences in latencies were statistically significant between FRB and RS (P 0.002), FRB and IB (P 0.01), and FRB and FS (P 0.006) neurons. As to the differences in EPSPs latencies between FS and RS neurons and between IB and RS neurons, they were significant at P In two of seven recorded IB neurons, the EPSPs exhibited a complex configuration that was initiated by a spikelet -like component, followed by a larger EPSP, occasionally leading to full action potentials (Fig. 4).

3 1404 Y. CISSÉ, F. GRENIER, I. TIMOFEEV, AND M. STERIADE FIG. 1. Various types of excitatory postsynaptic potentials (EPSPs) evoked by stimulating homotopic sites in the contralateral areas 5 and 7. Four different neurons (A D) in cats under barbiturate anesthesia. In B -D, gain in panel 2 is four times higher than in panel 1. Bottom panels 3 in B D are averages of 20 responses. In A, contralateral cortical stimuli were applied during depolarizing ( 0.5 na) and hyperpolarizing ( 0.5 na) current pulses of 0.3-s duration. In this and following figures, resting membrane potential (V m ) is marked by arrows. In all recorded neurons (n 545), the specificity of excitatory or inhibitory inputs set into action by callosal volleys onto the somadendritic membrane of cortical neurons was tested by using two closely spaced ( 1 mm) stimulating electrodes inserted into the depth of the contralateral cortex. For this analysis, we considered only those recordings (n 268) in which at least one neuron within a given micropipette track was responding to stimulation of one of the two contralateral stimulating electrodes. Of those neurons, only 91 responded to contralateral stimulation with primary EPSPs to stimulation of one electrode. Three neurons responded with primary EPSPs to stimulation of one electrode and with IPSPs to the stimulation of the second contralateral electrode. In Fig. 5, the IPSP was maximal at 65 mv and fully reversed in polarity between 79 and 85 mv (Fig. 5, A2 A3), while the EPSP consisted of several depolarizing components that triggered action potentials around 60 mv (Fig. 5, B2 B3). Convergence of callosal and thalamic EPSPs onto cortical cells, some of them corticothalamic Twenty-eight neurons were driven at short latencies ( 5 ms) from both homotopic sites in the contralateral cortex and one of the two stimulated thalamic nuclei (LP or CL) that are known to project to association areas 5 and 7 (Avendaño et al. 1988; Jones 1985). Such neurons are illustrated in Figs. 6 to 8. In 28 neurons, we could reveal EPSPs elicited by LP or CL thalamic stimuli, convergent with callosally evoked EPSPs, in antidromically identified corticothalamic neurons (see Fig. 6). This demonstrates complex patterns of callosal and thalamocortical pathways impinging on the same deeply lying corticothalamic

4 PROPERTIES OF CALLOSAL NEURONS IN ASSOCIATION CORTEX 1405 FIG. 2. Different amplitudes of callosal EPSPs in 2 closely spaced (approximately 50 m) neurons. Barbiturate anesthesia. A and B, two area 5 neurons recorded in immediate succession, at depths of 516 and 564 m. Stimuli were applied to contralateral area 5 during spindles [see simultaneously recorded depth electroencephalogram (EEG) from the area where intracellular recordings were made] as well as during interspindle lulls. Responses during interspindle lulls in both A and B are marked by horizontal bars and expanded below (arrows) in A2 and B2 (superimposed traces) and A3 and B3 (averages of 10 responses). neuron. The latencies of CL-evoked and callosally evoked EPSPs were examined in 18 neurons and the plot in Fig. 6 shows that the latencies of CL-evoked EPSPs were dispersed between approximately 1.5 and 4 ms, whereas close to 80% of EPSPs latencies evoked by callosal volleys were above 3 ms, up to approximately 8 ms. Along the same micropipette track, different impaled neurons revealed a great variety of responses to thalamic or callosal volley. Figure 7A shows that, of four neurons recorded from layer III to layer V, three of them exhibited thalamically evoked short-latency (1 3 ms) EPSPs, while the deeply lying neuron was antidromically invaded from the thalamic rostral intralaminar CL nucleus; only one of those neurons (depth 0.8 mm) also responded with a long-latency EPSP to callosal stimulation. Similar differences between successively recorded neurons along the same track are illustrated in Fig. 7B, showing convergent EPSPs from both thalamocortical and callosal pathways (neuron at 1.5 mm), while another neuron was antidromically identified from the intralaminar thalamus. Generally, in contrast to responses evoked by thalamocortical volleys that were observed in most neurons within a cortical column, stimuli applied to homotopic sites in the contralateral cortex activated only some neurons, at restricted cortical depths. Callosally projecting neurons Nineteen neurons were identified antidromically as projecting through corpus callosum. Of those, 14 neurons were located in layers II III and the upper part of IV, and 5 neurons were located more deeply in layer IV and V. Criteria for antidromic identification (see Lipski 1981) were fixed-latency, take-off of action potentials directly from the baseline, collision with spontaneously occurring action potentials at proper

5 1406 Y. CISSÉ, F. GRENIER, I. TIMOFEEV, AND M. STERIADE FIG. 3. Fast-rhythmic-bursting (FRB) neurons display callosal EPSPs with highest amplitudes and shortest latencies. Top: identification of FRB neuron (under barbiturate anesthesia) by depolarizing current steps (0.5 and 0.7 na). Bottom left: superimposed EPSPs in the FRB cell depicted above. Bottom right: median latency (ms), median amplitude (mv), and median time decay (ms) in a sample of 54 neurons, consisting of 4 neuronal types: FRB, fast-spiking (FS), regular-spiking (RS), and intrinsically bursting (IB), as identified by their responses to depolarizing current pulses. Amplitude was considered as the largest voltage reached between 1 and 25 ms after stimulus artifact. time intervals (Fig. 8A2) and, as a subsidiary criterion, faithful following of stimuli at or over 100 Hz. In 16 neurons, latencies of antidromic responses were between 1.3 ms (see neuron at 0.96 mm in Fig. 7) and 3.1 ms (neuron in Fig. 8B). The remaining three neurons had much longer latencies, 18.5 ms (Fig. 8A). It is possible that, in the latter case, fine collaterals of the parent callosal axon were stimulated. All antidromically identified neurons were RS. DISCUSSION The major findings of these experiments are as follows. 1) Various classes of cortical neurons from association areas 5 and 7, as identified electrophysiologically by depolarizing current pulses, exhibit statistically significant differences in amplitudes and latencies of EPSPs evoked by contralateral cortical stimuli, with FRB neurons displaying largest EPSPs, with shortest latencies. 2) Neurons receiving callosal excitatory inputs are located not only in layers II/III but also in infragranular layers. 3) Callosal inputs converge with thalamic inputs onto the same cortical neuron and the latencies of callosally evoked EPSPs are longer than those of thalamically evoked EPSPs. 4) Callosal synaptic inputs activate antidromically identified corticothalamic neurons. The fact that FRB neurons, firing high-frequency bursts at fast frequencies, exhibited EPSPs whose amplitudes were threefold larger, and latencies two- or threefold shorter, than those found in the three other cellular classes may have functional consequences. Indeed, FRB neurons have ipsilateral cortical connections with neurons of a similar type, as suggested by fast, subthreshold depolarizing events occurring within the same frequency range as the high-frequency spikebursts of other FRB neurons, and long horizontal axons (Gray and McCormick 1996; Steriade et al. 1998b). Also, FRB neurons located in deep layers have been identified as projecting to thalamic nuclei, among them to the rostral intralaminar CL nucleus (Steriade et al. 1998b) that has widespread cortical projections (Jones 1985; Steriade et al. 1997). These connectivity features allow callosally elicited activities to be spread, via FRB neurons, across contralateral cortical and corticothalamic networks. It is known that FRB neurons are implicated in the generation of fast (gamma, Hz) oscillations because of the high frequencies of their spike-bursts. They are the best candidates to transfer and synchronize through interhemispheric pathways spontaneous and evoked gamma rhythms (Engel et al. 1991; Kiper et al. 1999; Knyazeva et al. 1999; Nuñez et al. 1992). This is also the case with the slow sleep

6 PROPERTIES OF CALLOSAL NEURONS IN ASSOCIATION CORTEX 1407 FIG. 4. Complex callosal EPSPs in IB neuron. Ketamine-xylazine anesthesia. Top: electrophysiological identification of IB neuron by depolarizing current steps (0.5 na) at two levels of V m. In each case, clusters of action potentials are expanded (arrows). A and B: EPSPs evoked by stimulating the homotopic site in the contralateral area 5, at 2 different levels of V m ( 72 and 68 mv). Panels 1 2: superimpositions of responses at different gains. Panel 3: average of 10 responses. The excitatory response was initiated by spikelets, with different amplitudes and fast rising and decaying slopes, followed by larger amplitude EPSPs, occasionally crowned by full action potentials. oscillation that is generated intracortically (Steriade et al. 1993a,b) and can be transferred to the contralateral cortex, as demonstrated by dual intracellular recordings from right and left cortices (Contreras and Steriade 1995). Moreover, focal paroxysms of spike-wave type are generated intracortically in FRB neurons (see Figs. 7 8 in Steriade et al. 1998a) and can therefore be preferential targets for synchronizing epileptiform processes between the two hemispheres, with subsequent spread to the thalamus. Data showing convergent callosal and thalamic LP excitatory inputs onto the same cortical neuron, sometime identified as corticothalamic (see Fig. 6), can be related to an electron

7 1408 Y. CISSÉ, F. GRENIER, I. TIMOFEEV, AND M. STERIADE FIG. 5. EPSPs and inhibitory postsynaptic potentials (IPSPs) evoked in the same RS neuron by two closely spaced stimulating electrodes in the homotopic site of the contralateral area 5. Ketamine-xylazine anesthesia. A: IPSP evoked by one stimulating electrode. Panel 1: superimposed responses at V m of 65 mv. Panels 2 3 (different speeds): IPSPs and reversed IPSPs in the same neuron at V m sof 65, 79, and 85 mv. B: EPSP evoked in the same RS neuron by stimuli delivered through the second stimulating electrode in the contralateral area 5. Panels 1 3 are organized as in A. microscopic study showing that axon terminals from another thalamic nucleus, the mediodorsal (MD) one, make asymmetrical synaptic contacts with dendritic spines of layer III callosal cells (Kuroda et al. 1995). These findings, together with the previous (Steriade et al. 1974) and present demonstration of a bisynaptic callosal-corticothalamic pathway (see Fig. 6), demonstrate the complexity of converging thalamocortical and callosal excitatory inputs acting on the feedback corticothalamic neurons. Our data, together with previous findings reporting orthodromic responses evoked by contralateral cortical stimuli in corticostriatal neurons (Wilson 1987), indicate the effectiveness of callosal volleys in driving corticofugal neurons projecting to either thalamus or caudate nucleus. Differences between cortical responses to thalamic and callosal volleys have been previously described at the extracellular level in association areas 5 and 7 (Kitsikis and Steriade 1975). Among these differences, one of the most striking is the powerful postinhibitory rebound that follows the early excitation elicited by stimulating appropriate thalamic nuclei, as opposed to the absence or small amplitude of the rebound after callosal stimulation, although an inhibitory wave followed the early callosally evoked excitation (see Fig. 2 in Kitsikis and Steriade 1975). It suggested that the postinhibitory rebound does not evolve as a mere consequence of preceding inhibition, but may also require a source of excitatory synaptic drives which are brought into action by afferent thalamic, and not by transcallosal stimulation. This assumption has more recently been supported by dual intracellular recordings of cortical and thalamic neurons, showing the leading role of spike-bursts fired by

8 PROPERTIES OF CALLOSAL NEURONS IN ASSOCIATION CORTEX 1409 FIG. 6. Convergence of callosal and thalamic excitatory inputs onto corticothalamic neuron. Ketamine-xylazine anesthesia. RS neuron located in layer V of area 5 was antidromically invaded from thalamic centrolateral (CL) nucleus at 2.4-ms latency (see C2 3), synaptically excited from thalamic lateroposterior (LP) nucleus (3 mm apart from CL nucleus) at 4.8 ms (see A2), and synaptically excited from the contralateral area 5 at 3.7 ms (see B2). Top: the same type of responses, superimposed at a lower speed to also show hyperpolarizations following the initial responses (A, LP stimulation; B, callosal stimulation; and C, CL stimulation; in all cases, second range of responses are expanded and at higher speed). Diagram shows callosally (CC) and thalamically (LP) evoked excitation in corticothalamic neuron antidromically activated from CL nucleus. Plot depicts latencies of EPSPs evoked by thalamic (CL nucleus) and callosal volleys in a sample of 18 neurons. thalamocortical neurons in the generation of cortical postinhibitory rebound (Grenier et al. 1998). Concerning the IPSPs in response to callosal stimulation, the relatively short latency (approximately 4.5 ms) revealed in Fig. 5, compared with the longer latency (approximately 6.5 ms) of the EPSP elicited in the same neuron from a closely spaced stimulating electrode in the contralateral cortex, may suggest a monosynaptic inhibitory pathway. Indeed, several lines of evidence indicate that, besides the known excitatory callosal neurons, inhibitory cells may also course through the corpus callosum: 1) nonpyramidal, bitufted cells and aspiny neurons from layers II/III and V were retrogradely labeled from callosal projection in rat visual cortex (Martinez-Garcia et al. 1994); and 2) GABA-immunoreactive neurons, located in both superficial and deep layers, were found to give rise to callosal pathways between somatosensory cortices of rats (Gonchar et al. 1995). However, the bisynaptic inhibitory effect (through prior excitation of a local-circuit GABAergic neuron at the site

9 1410 Y. CISSÉ, F. GRENIER, I. TIMOFEEV, AND M. STERIADE FIG. 7. Variety of responses to thalamic CL nucleus and callosal stimulation in 4 neurons recorded along the same micropipettes tracks in area 5. A and B: 2 tracks in 2 different animals. A: ketamine-xylazine anesthesia. All illustrated responses were recorded during the depth-positive phase of the field slow oscillation reflecting cell hyperpolarization. Top (averaged responses, n 10): represent at left (A1) responses to thalamic CL stimuli, and at right (A2) responses of the same neurons to stimuli applied to contralateral area 5. First 2 traces are FS neurons recorded at 0.57 and 0.8 mm; the bottom 2 traces are RS neurons recorded at 1.3 and 1.32 mm. V m indicated in each case. Bottom panels: expanded early responses (single sweeps; same organization as top). Note antidromic response to the thalamic CL stimulus in the deeply lying (1.32 mm, 4th) neuron; CL-evoked EPSPs at different latencies (from 1st to 3rd neuron: 2.2 ms, 0.9 and 4.3 ms). Callosal stimulation evoked long-latency EPSP in only the 3rd neuron. B: barbiturate anesthesia. Differential responses to thalamic CL and callosal stimulation in 3 neurons recorded at different cortical depths. All responses were recorded during interspindle lulls. Responses to single stimuli applied to thalamic CL nucleus (spike truncated) and to contralateral area 5. Note convergent EPSPs from CL and callosal pathway in cell 3, and antidromic response to CL stimulation in cell 2 (latency 1.3 ms). of recording) may seem more reasonable. Some FRB neurons that receive callosal inputs at short latencies (see Fig. 3) have been formally identified by intracellular staining as basket aspiny or sparsely spiny cells (Steriade et al. 1998b) and FS (presumably GABAergic) neurons are also the target of callosal afferents. It had been traditionally assumed that neurons receiving inputs from, and projecting to, callosal pathways are located in

10 PROPERTIES OF CALLOSAL NEURONS IN ASSOCIATION CORTEX 1411 FIG. 8. Long and short latencies of antidromic responses in callosal neurons. A B: two RS neurons recorded under barbiturate anesthesia at depths of 0.35 and 0.5 mm, respectively. A: long-latency (18.5 ms) antidromic response. Left panel in A depicts three superimposed responses to contralateral stimuli during depolarizing and hyperpolarizing current steps. Bottom: expanded to show collision of two of three antidromic responses (over the depolarizing current step) by two spontaneously occurring action potentials just before stimulus (arrows). At right, panel 2 (6 superimposed responses) is at higher gain and faster speed than panel 1 (spikes truncated). Panel 3 represents responses to a pulse-train at 100 Hz (response to the second stimulus in the train failed). B: short-latency (3.1 ms) response. Panels 1-3 are organized as in panels 1-3 in A. Note m-spike in one of two superimposed traces in panel 2 (arrow), when the full action potential failed. superficial layers II/III and that callosal synaptic linkages are mirror-symmetric. However, many data, including ours, challenge this conventional view. Tract-tracing studies showed that primary and association visual areas contain callosally connected neurons that originate in layers II/III but also VI (Innocenti et al. 2002). Excitatory contacts have been demonstrated between layer V pyramidal neurons in callosally connected slices, and EPSCs were mediated by both AMPA and NMDA receptors (Kumar and Huguenard 2001). Also, in the present experiments callosally elicited EPSPs were found in neurons recorded not only in layers II/III but also below 0.8 mm and in deep layers (Figs. 6 8). As to the previous view of callosally connected symmetric foci, more recent results revealed nonsymmetric sites with respect to the midline in cat visual cortex (Olavarria 1996). Other data similarly showed that, although the strongest callosal projections arise from

11 1412 Y. CISSÉ, F. GRENIER, I. TIMOFEEV, AND M. STERIADE homotopic areas in the parabelt auditory cortex, weaker callosal inputs originate from superior temporal gyrus (Hackett et al. 1999). Activities in callosal pathways are implicated in plastic changes. Stimulation of homotopic sites in the contralateral cortex, at 10 Hz (mimicking sleep spindles) or 40 Hz (similar to the prevalent oscillation during waking and REM sleep), induces long-lasting potentiation of control responses (Cissé et al. 2002; Steriade et al. 2002). This potentiation occurs at a depolarized level and may lead to self-sustained paroxysmal events in thalamically lesioned animals, thus emphasizing the role played by the callosal pathway in plasticity, even in the absence of thalamus (see Fig. 14 in Steriade et al. 1993b). We thank P. Giguère and D. Drolet for technical assistance. This work was supported by grants from the Canadian Institutes for Health Research (MT-3689, MOP-36545, and MOP-37862) and the Human Frontier Science Program (RG0131). Y. Cissé is a postdoctoral fellow, F. Grenier is a Ph.D. student, and I. Timofeev is a Scholar of the Fonds de la Recherché en Santé du Québec. REFERENCES Avendaño C, Raussel E, Perez-Aguilar D, and Isorna S. Organization of the association cortical afferents of area 5: a retrograde tracer study in the cat. J Comp Neurol 278: 1 33, Baranyi A and Feher O. Intracellular studies on cortical synaptic plasticity. Conditioning effect of antidromic activation on test-epsps. Exp Brain Res 41: , Barbaresi P, Bernardi S, and Manzoni T. Callosal connections of the somatic sensory areas II and IV in the cat. J Comp Neurol 283: , Barbaresi P, Minelli A, and Manzoni T. Topographical relations between ipsilateral cortical afferents and callosal neurons in the second somatic sensory area of cats. J Comp Neurol 343: , Berlucchi G, Aglioti S, Marzi CA, and Tassinari G. Corpus callosum and simple visuomotor integration. Neuropsychologia 33: , Bremer F, Brihaye J, and André-Balisaux G. Physiologie et pathologie du corps calleux. Schweiz Arch Neurol Psychiatr 78: 31 87, Cissé Y, Timofeev I, Grenier F, and Steriade M. Properties of callosal neuronal responses: mid-term plasticity and modulation by slow oscillation. Soc Neurosci Abstr 28: , Clarke S, de Ribaupierre F, Bajo VM, Rouiller EM, and Kraftsik R. The auditory pathway in cat corpus callosum. Exp Brain Res 104: , Clasca F, Llamas A, and Reinoso-Suarez F. Cortical connections of the insular and adjacent parieto-temporal fields in the cat. Cereb Cortex 10: , Connors BW and Gutnick MJ. Intrinsic firing patterns of diverse neocortical neurons. Trends Neurosci 13: , Contreras D and Steriade M. Cellular basis of EEG slow rhythms: a study of dynamic corticothalamic relationships. J Neurosci 15: , Engel AK, König P, Kreiter AK, and Singer W. Interhemispheric synchronization of oscillatory neuronal responses in cat visual cortex. Science 252: , Farinas I and DeFelipe J. Patterns of synaptic input on corticocortical and corticothalamic cells in the cat visual cortex. I. The cell body. J Comp Neurol 304: 53 69, Gonchar YA, Johnson PB, and Weinberg RJ. GABA-immunoreactive neurons in rat neocortex with contralateral projections to SI. Brain Res 697: 27 34, Gray CM and McCormick DA. Chattering cells: superficial pyramidal neurons contributing to the generation of synchronous oscillations in the visual cortex. Science 274: , Grenier F, Timofeev I, and Steriade M. Leading role of thalamic over cortical neurons during postinhibitory rebound excitation. Proc Natl Acad Sci USA 95: , Hackett TA, Stepniewska I, and Kaas JH. Callosal connections of the parabelt auditory cortex in macaque monkeys. Eur J Neurosci 11: , Innocenti GM. Some new trends in the study of the corpus callosum. Behav Brain Res 64: 1 8, Innocenti GM, Aggoun-Zouaoui D, and Lehmann P. Cellular aspects of callosal connections and their development. Neuropsychologia 33: , Innocenti GM, Manger PR, Masiello I, Colin I, and Tettoni L. Architecture and callosal connections of visual areas 17, 18, 19 and 21 in the ferret (Mustela putorious). Cereb Cortex 12: , Jones EG. The Thalamus. New York: Plenum, 1985, p Kasper EM, Lübke J, Larkman AU, and Blakemore C. Pyramidal neurons in layer 5 of the rat visual cortex. III. Differential maturation of axon targeting, dendritic morphology, and electrophysiological properties. J Comp Neurol 339: , Kiper DC, Knyazeva MG, Tettoni L, and Innocenti GM. Visual stimulusdependent changes in interhemispheric EEG coherence in ferrets. J Neurophysiol 82: , Kitsikis A and Steriade M. Thalamic, callosal and reticular converging inputs to parietal association cortex in cat. Brain Res 93: , Knyazeva MG, Kiper DC, Vilvadski VY, Despland PA, Maeder-Ingvar M, and Innocenti GM. Visual stimulus-dependent changes in interhemispheric EEG coherence in humans. J Neurophysiol 82: , Kumar SS and Huguenard JR. Properties of excitatory synaptic connections mediated by the corpus callosum in the developing rat neocortex. J Neurophysiol 86: , Kuroda M, Murakami K, Shinkai M, Ojima H, and Kishi K. Electron microscopic evidence that axon terminals from the mediodorsal thalamic nucleus make direct synaptic contacts with callosal cells in the prelimbic cortex of the rat. Brain Res 677: , Lipski J. Antidromic activation of neurones as an analytical tool in the study of the central nervous system. J Neurosci Methods 4: 1 32, Martinez-Garcia F, Gonzalez-Fernandez T, and Matinez-Millan L. Pyramidal and nonpyramidal callosal cells in the striate cortex of the adult rat. J Comp Neurol 350: , Matsubara JA, Chase R, and Thejomayen M. Comparative morphology of three types of projection-identified pyramidal neurons in the superficial layers of cat visual cortex. J Comp Neurol 366: , Matsunami K, Kawashima T, Ueki S, Fujita M, and Konishi T. Topography of commissural fibers in the corpus callosum of the cat: a study using WGA-HRP method. Neurosci Res 20: , Miller R. Distribution and properties of commissural and other neurons in cat sensorimotor cortex. J Comp Neurol 164: , Milleret C, Houzel JC, and Buser P. Pattern of development of the callosal transfer of visual information to cortical areas 17 and 18 in the cat. Eur J Neurosci 6: , Nuñez A, Amzica F, and Steriade M. Voltage-dependent fast (20 40 Hz) oscillations in long-axoned neocortical neurons. Neuroscience 51: 7 10, Nuñez A, Amzica F, and Steriade M. Electrophysiology of cat association cortical neurons in vivo: intrinsic properties and synaptic responses. J Neurophysiol 70: , Olavarria JF. Non-mirror-symmetric patterns of callosal linkages in areas 17 and 18 in cat visual cortex. J Comp Neurol 366: , Pandya DN and Rosene DL. Laminar termination patterns of thalamic, callosal, and association afferents in the primary auditory area of the rhesus monkey. Exp Neurol 119: , Porter LL and White EL. Synaptic connections of callosal projection neurons in the vibrissal region of mouse primary motor cortex: an electro microscopic/horseradish peroxidase study. J Comp Neurol 248: , Renaud LP, Kelly JS, and Provini L. Synaptic inhibition in pyramidal tract neurons: membrane potential and conductance changes evoked by pyramidal tract and cortical surface stimulation. J Neurophysiol 37: , Seymour SE, Reuter-Lorenz PA, and Gazzaniga MS. The disconnection syndrome. Basic findings reaffirmed. Brain 117: , Soloway AS, Pucak ML, Melchitzky DS, and Lewis DA. Dendritic morphology of callosal and ipsilateral projection neurons in monkey prefrontal cortex. Neuroscience 109: , Steriade M, Amzica F, Neckelmann D, and Timofeev I. Spike-wave complexes and fast components of cortically generated seizures. II. Extra- and intracellular patterns. J Neurophysiol 80: , 1998a. Steriade M, Crochet S, Fuentealba P, Cissé Y, and Timofeev I. Cortical plasticity and self-sustained activities. Soc Neurosci Abstr 28: , 2002.

12 PROPERTIES OF CALLOSAL NEURONS IN ASSOCIATION CORTEX 1413 Steriade M, Deschênes M, Wyzinski P, and Hallé JP. Input-output organization of the motor cortex during sleep and waking. In: Basic Sleep Mechanisms, edited by Petre-Quadens o and Schlag J. New York: Academic, 1974, p Steriade M, Jones EG, and McCormick DA. Thalamus: Organisation and Function. Oxford: Elsevier, 1997, vol. 1, p Steriade M, Nuñez A, and Amzica F. A novel slow ( 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components. J Neurosci 13: , 1993a. Steriade M, Nuñez A, and Amzica F. Intracellular analysis of relations between the slow ( 1 Hz) neocortical oscillation and other sleep rhythms. J Neurosci 13: , 1993b. Steriade M, Timofeev I, Dürmüller N, and Grenier F. Dynamic properties of corticothalamic neurons and local cortical interneurons generating fast rhythmic (30 40 Hz) spike bursts. J Neurophysiol 79: , 1998b. Steriade M, Timofeev I, and Grenier F. Natural waking and sleep states: a view from inside cortical neurons. J Neurophysiol 85: , Swadlow HA. Physiological properties of individual cerebral axons studied in vivo for as long as one year. J Neurophysiol 54: , White EL and Czeiger D. Synapses made by axon of callosal projection neurons in mouse somatosensory cortex: emphasis on intrinsic connections. J Comp Neurol 303: , Wilson CJ. Morphology and synaptic connections of crossed corticostriatal neurons in the rat. J Comp Neurol 263: , 1987.

CALLOSAL RESPONSES OF FAST-RHYTHMIC-BURSTING NEURONS DURING SLOW OSCILLATION IN CATS

CALLOSAL RESPONSES OF FAST-RHYTHMIC-BURSTING NEURONS DURING SLOW OSCILLATION IN CATS Neuroscience 147 (2007) 272 276 RAPID REPORT CALLOSAL RESPONSES OF FAST-RHYTHMIC-BURSTING NEURONS DURING SLOW OSCILLATION IN CATS Y. CISSÉ, 1,2 D. A. NITA, 2 M. STERIADE AND I. TIMOFEEV* Department of

More information

Thalamic short-term plasticity and its impact on the neocortex. Frangois Grenier, Igor Timofeev, Mircea Steriade*

Thalamic short-term plasticity and its impact on the neocortex. Frangois Grenier, Igor Timofeev, Mircea Steriade* ELSEVIER Thalamus & Related Systems 1 (2002) 331-340 Thalamus & Related Systems www.elsevier.com/locate/tharel Thalamic short-term plasticity and its impact on the neocortex Frangois Grenier, Igor Timofeev,

More information

Leading role of thalamic over cortical neurons during postinhibitory rebound excitation

Leading role of thalamic over cortical neurons during postinhibitory rebound excitation Proc. Natl. Acad. Sci. USA Vol. 95, pp. 13929 13934, November 1998 Neurobiology Leading role of thalamic over cortical neurons during postinhibitory rebound excitation F. GRENIER, I.TIMOFEEV, AND M. STERIADE*

More information

Spindles (7 15 Hz) are a hallmark oscillation during early

Spindles (7 15 Hz) are a hallmark oscillation during early Prolonged hyperpolarizing potentials precede spindle oscillations in the thalamic reticular nucleus Pablo Fuentealba, Igor Timofeev, and Mircea Steriade* Laboratoire de Neurophysiologie, Faculté de Médecine,

More information

Thalamo-Cortical Relationships Ultrastructure of Thalamic Synaptic Glomerulus

Thalamo-Cortical Relationships Ultrastructure of Thalamic Synaptic Glomerulus Central Visual Pathways V1/2 NEUR 3001 dvanced Visual Neuroscience The Lateral Geniculate Nucleus () is more than a relay station LP SC Professor Tom Salt UCL Institute of Ophthalmology Retina t.salt@ucl.ac.uk

More information

Coalescence of Sleep Rhythms and Their Chronology in Corticothalamic Networks

Coalescence of Sleep Rhythms and Their Chronology in Corticothalamic Networks Sleep Research Online 1(1): 1-10, 1998 http://www.sro.org/1998/steriade/1/ Printed in the USA. All rights reserved. 1096-214X 1998 WebSciences Coalescence of Sleep Rhythms and Their Chronology in Corticothalamic

More information

Natural Waking and Sleep States: A View From Inside Neocortical Neurons

Natural Waking and Sleep States: A View From Inside Neocortical Neurons Natural Waking and Sleep States: A View From Inside Neocortical Neurons M. STERIADE, I. TIMOFEEV, AND F. GRENIER Laboratoire de Neurophysiologie, Faculté de Médicine, Université Laval, Quebec G1K 7P4,

More information

Membrane Bistability in Thalamic Reticular Neurons During Spindle Oscillations

Membrane Bistability in Thalamic Reticular Neurons During Spindle Oscillations J Neurophysiol 93: 294 304, 2005. First published August 25, 2004; doi:10.1152/jn.00552.2004. Membrane Bistability in Thalamic Reticular Neurons During Spindle Oscillations Pablo Fuentealba, 1 Igor Timofeev,

More information

The depolarizing and hyperpolarizing phases of neocortical

The depolarizing and hyperpolarizing phases of neocortical Cortical hyperpolarization-activated depolarizing current takes part in the generation of focal paroxysmal activities Igor Timofeev*, Maxim Bazhenov, Terrence Sejnowski, and Mircea Steriade* *Laboratory

More information

Synaptic excitation of principal cells in the cat's lateral geniculate nucleus during focal epileptic seizures in the visual cortex

Synaptic excitation of principal cells in the cat's lateral geniculate nucleus during focal epileptic seizures in the visual cortex Synaptic excitation of principal cells in the cat's lateral geniculate nucleus during focal epileptic seizures in the visual cortex Andrzej wr6be11, Anders ~ edstr~m~ and Sivert ~indstrsm~ 'Department

More information

Prolonged Synaptic Integration in Perirhinal Cortical Neurons

Prolonged Synaptic Integration in Perirhinal Cortical Neurons RAPID COMMUNICATION Prolonged Synaptic Integration in Perirhinal Cortical Neurons JOHN M. BEGGS, 1 JAMES R. MOYER, JR., 1 JOHN P. MCGANN, 2 AND THOMAS H. BROWN 1 3 1 Department of Psychology, 2 Interdepartmental

More information

Bursting dynamics in the brain. Jaeseung Jeong, Department of Biosystems, KAIST

Bursting dynamics in the brain. Jaeseung Jeong, Department of Biosystems, KAIST Bursting dynamics in the brain Jaeseung Jeong, Department of Biosystems, KAIST Tonic and phasic activity A neuron is said to exhibit a tonic activity when it fires a series of single action potentials

More information

Mechanisms of cortical trauma induced epileptogenesis and seizures

Mechanisms of cortical trauma induced epileptogenesis and seizures Research Signpost 37/661 (2), Fort P.O., Trivandrum-695 023, Kerala, India Recent Res. Devel. Physiol., 3(2005): ISBN: 81-308-0069-1 Mechanisms of cortical trauma induced epileptogenesis and seizures Igor

More information

Selective Amplification of Neocortical Neuronal Output by Fast Prepotentials In Vivo

Selective Amplification of Neocortical Neuronal Output by Fast Prepotentials In Vivo Selective Amplification of Neocortical Neuronal Output by Fast Prepotentials In Vivo S. Crochet, P. Fuentealba, I. Timofeev and M. Steriade Laboratoire de Neurophysiologie, Faculté de Médecine, Université

More information

Embryological origin of thalamus

Embryological origin of thalamus diencephalon Embryological origin of thalamus The diencephalon gives rise to the: Thalamus Epithalamus (pineal gland, habenula, paraventricular n.) Hypothalamus Subthalamus (Subthalamic nuclei) The Thalamus:

More information

Modelling corticothalamic feedback and the gating of the thalamus by the cerebral cortex

Modelling corticothalamic feedback and the gating of the thalamus by the cerebral cortex J. Physiol. (Paris) 94 (2000) 391 410 2000 Elsevier Science Ltd. Published by Éditions scientifiques et médicales Elsevier SAS. All rights reserved PII: S0928-4257(00)01093-7/FLA Modelling corticothalamic

More information

CYTOARCHITECTURE OF CEREBRAL CORTEX

CYTOARCHITECTURE OF CEREBRAL CORTEX BASICS OF NEUROBIOLOGY CYTOARCHITECTURE OF CEREBRAL CORTEX ZSOLT LIPOSITS 1 CELLULAR COMPOSITION OF THE CEREBRAL CORTEX THE CEREBRAL CORTEX CONSISTS OF THE ARCHICORTEX (HIPPOCAMPAL FORMA- TION), PALEOCORTEX

More information

Nature Methods: doi: /nmeth Supplementary Figure 1. Activity in turtle dorsal cortex is sparse.

Nature Methods: doi: /nmeth Supplementary Figure 1. Activity in turtle dorsal cortex is sparse. Supplementary Figure 1 Activity in turtle dorsal cortex is sparse. a. Probability distribution of firing rates across the population (notice log scale) in our data. The range of firing rates is wide but

More information

Basic Mechanism for Generation of Brain Rhythms

Basic Mechanism for Generation of Brain Rhythms 203 Continuing Medical Education Basic Mechanism for Generation of Brain Rhythms Wei-Hung Chen Abstract- Study of the basic mechanism of brain rhythms adds to our understanding of the underlying processes

More information

Synchronization of Fast (30-40 Hz) Spontaneous Oscillations in lntrathalamic and Thalamocortical Networks

Synchronization of Fast (30-40 Hz) Spontaneous Oscillations in lntrathalamic and Thalamocortical Networks The Journal of Neuroscience, April 15, 1996, 76(8):2788-2808 Synchronization of Fast (30-40 Hz) Spontaneous Oscillations in lntrathalamic and Thalamocortical Networks Mircea Steriade, Diego Contreras,

More information

SUPPLEMENTARY INFORMATION. Supplementary Figure 1

SUPPLEMENTARY INFORMATION. Supplementary Figure 1 SUPPLEMENTARY INFORMATION Supplementary Figure 1 The supralinear events evoked in CA3 pyramidal cells fulfill the criteria for NMDA spikes, exhibiting a threshold, sensitivity to NMDAR blockade, and all-or-none

More information

Modulation of synaptic transmission in neocortex by network activities

Modulation of synaptic transmission in neocortex by network activities European Journal of Neuroscience, Vol. 21, pp. 1030 1044, 2005 ª Federation of European Neuroscience Societies Modulation of synaptic transmission in neocortex by network activities Sylvain Crochet, Sylvain

More information

SLEEP AND AROUSAL: Thalamocortical Mechanisms

SLEEP AND AROUSAL: Thalamocortical Mechanisms Annu. Rev. Neurosci. 1997. 20:185 215 Copyright c 1997 by Annual Reviews Inc. All rights reserved SLEEP AND AROUSAL: Thalamocortical Mechanisms David A. McCormick and Thierry Bal 1 Section of Neurobiology,

More information

POSTSYNAPTIC INHIBITION OF CRAYFISH TONIC FLEXOR MOTOR NEURONES BY ESCAPE COMMANDS

POSTSYNAPTIC INHIBITION OF CRAYFISH TONIC FLEXOR MOTOR NEURONES BY ESCAPE COMMANDS J. exp. Biol. (1980), 85, 343-347 343 With a figures Printed in Great Britain POSTSYNAPTIC INHIBITION OF CRAYFISH TONIC FLEXOR MOTOR NEURONES BY ESCAPE COMMANDS BY J. Y. KUWADA, G. HAGIWARA AND J. J. WINE

More information

Model of Thalamocortical Slow-Wave Sleep Oscillations and Transitions to Activated States

Model of Thalamocortical Slow-Wave Sleep Oscillations and Transitions to Activated States The Journal of Neuroscience, October 1, 2002, 22(19):8691 8704 Model of Thalamocortical Slow-Wave Sleep Oscillations and Transitions to Activated States Maxim Bazhenov, 1 Igor Timofeev, 2 Mircea Steriade,

More information

COGNITIVE SCIENCE 107A. Sensory Physiology and the Thalamus. Jaime A. Pineda, Ph.D.

COGNITIVE SCIENCE 107A. Sensory Physiology and the Thalamus. Jaime A. Pineda, Ph.D. COGNITIVE SCIENCE 107A Sensory Physiology and the Thalamus Jaime A. Pineda, Ph.D. Sensory Physiology Energies (light, sound, sensation, smell, taste) Pre neural apparatus (collects, filters, amplifies)

More information

Computational Models of Thalamocortical Augmenting Responses

Computational Models of Thalamocortical Augmenting Responses The Journal of Neuroscience, August 15, 1998, 18(16):6444 6465 Computational Models of Thalamocortical Augmenting Responses Maxim Bazhenov, 1 Igor Timofeev, 2 Mircea Steriade, 2 and Terrence J. Sejnowski

More information

The Role of Mitral Cells in State Dependent Olfactory Responses. Trygve Bakken & Gunnar Poplawski

The Role of Mitral Cells in State Dependent Olfactory Responses. Trygve Bakken & Gunnar Poplawski The Role of Mitral Cells in State Dependent Olfactory Responses Trygve akken & Gunnar Poplawski GGN 260 Neurodynamics Winter 2008 bstract Many behavioral studies have shown a reduced responsiveness to

More information

Sleep-Wake Cycle I Brain Rhythms. Reading: BCP Chapter 19

Sleep-Wake Cycle I Brain Rhythms. Reading: BCP Chapter 19 Sleep-Wake Cycle I Brain Rhythms Reading: BCP Chapter 19 Brain Rhythms and Sleep Earth has a rhythmic environment. For example, day and night cycle back and forth, tides ebb and flow and temperature varies

More information

File name: Supplementary Information Description: Supplementary Figures, Supplementary Table and Supplementary References

File name: Supplementary Information Description: Supplementary Figures, Supplementary Table and Supplementary References File name: Supplementary Information Description: Supplementary Figures, Supplementary Table and Supplementary References File name: Supplementary Data 1 Description: Summary datasheets showing the spatial

More information

DOI: /jphysiol The Physiological Society Rapid Report

DOI: /jphysiol The Physiological Society Rapid Report J Physiol (2003), 552.1, pp. 325 332 DOI: 10.1113/jphysiol.2003.050310 The Physiological Society 2003 www.jphysiol.org Rapid Report Hyperpolarisation rectification in cat lateral geniculate neurons modulated

More information

Unique functional properties of somatostatin-expressing GABAergic neurons in mouse barrel cortex

Unique functional properties of somatostatin-expressing GABAergic neurons in mouse barrel cortex Supplementary Information Unique functional properties of somatostatin-expressing GABAergic neurons in mouse barrel cortex Luc Gentet, Yves Kremer, Hiroki Taniguchi, Josh Huang, Jochen Staiger and Carl

More information

GROUPING OF BRAIN RHYTHMS IN CORTICOTHALAMIC SYSTEMS

GROUPING OF BRAIN RHYTHMS IN CORTICOTHALAMIC SYSTEMS Neuroscience 137 (2006) 1087 1106 GROUPING OF BRAIN RHYTHMS IN CORTICOTHALAMIC SYSTEMS M. STERIADE* Laboratory of Neurophysiology, Laval University, Faculty of Medicine, Quebec, Canada G1K 7P4 Abstract

More information

Introduction to EEG del Campo. Introduction to EEG. J.C. Martin del Campo, MD, FRCP University Health Network Toronto, Canada

Introduction to EEG del Campo. Introduction to EEG. J.C. Martin del Campo, MD, FRCP University Health Network Toronto, Canada Introduction to EEG J.C. Martin, MD, FRCP University Health Network Toronto, Canada What is EEG? A graphic representation of the difference in voltage between two different cerebral locations plotted over

More information

Synaptic influences exerted by corticocortical fibres on neurones of the primary

Synaptic influences exerted by corticocortical fibres on neurones of the primary Journal of Physiology (1988), 400, pp. 617-629 617 With 1 plate and 6 text-figure8 Printed in Great Britain CORTICOCORTICAL SYNAPTIC INFLUENCES ON MORPHOLOGICALLY IDENTIFIED PYRAMIDAL NEURONES IN THE MOTOR

More information

SENSORIMOTOR CORTICAL INFLUENCES ON CUNEATE NUCLEUS RHYTHMIC ACTIVITY IN THE ANESTHETIZED CAT

SENSORIMOTOR CORTICAL INFLUENCES ON CUNEATE NUCLEUS RHYTHMIC ACTIVITY IN THE ANESTHETIZED CAT Pergamon www.elsevier.com/locate/neuroscience Sensorimotor cortical influences on the cuneate nucleus Neuroscience Vol. 95, No. 3, pp. 657 673, 2000 657 Copyright 1999 IBRO. Published by Elsevier Science

More information

Reciprocal Inhibitory Connections Regulate the Spatiotemporal Properties of Intrathalamic Oscillations

Reciprocal Inhibitory Connections Regulate the Spatiotemporal Properties of Intrathalamic Oscillations The Journal of Neuroscience, March 1, 2000, 20(5):1735 1745 Reciprocal Inhibitory Connections Regulate the Spatiotemporal Properties of Intrathalamic Oscillations Vikaas S. Sohal, Molly M. Huntsman, and

More information

Spiking-Bursting Activity in the Thalamic Reticular Nucleus Initiates Sequences of Spindle Oscillations in Thalamic Networks

Spiking-Bursting Activity in the Thalamic Reticular Nucleus Initiates Sequences of Spindle Oscillations in Thalamic Networks Spiking-Bursting Activity in the Thalamic Reticular Nucleus Initiates Sequences of Spindle Oscillations in Thalamic Networks M. BAZHENOV, 1 I. TIMOFEEV, 2 M. STERIADE, 2 AND T. SEJNOWSKI 1,3 1 Howard Hughes

More information

The control of spiking by synaptic input in striatal and pallidal neurons

The control of spiking by synaptic input in striatal and pallidal neurons The control of spiking by synaptic input in striatal and pallidal neurons Dieter Jaeger Department of Biology, Emory University, Atlanta, GA 30322 Key words: Abstract: rat, slice, whole cell, dynamic current

More information

Neuroscience of Consciousness I

Neuroscience of Consciousness I 1 C83MAB: Mind and Brain Neuroscience of Consciousness I Tobias Bast, School of Psychology, University of Nottingham 2 What is consciousness? 3 Consciousness State of consciousness - Being awake/alert/attentive/responsive

More information

Effects of Inhibitory Synaptic Current Parameters on Thalamocortical Oscillations

Effects of Inhibitory Synaptic Current Parameters on Thalamocortical Oscillations Effects of Inhibitory Synaptic Current Parameters on Thalamocortical Oscillations 1 2 3 4 5 Scott Cole Richard Gao Neurosciences Graduate Program Department of Cognitive Science University of California,

More information

Part 11: Mechanisms of Learning

Part 11: Mechanisms of Learning Neurophysiology and Information: Theory of Brain Function Christopher Fiorillo BiS 527, Spring 2012 042 350 4326, fiorillo@kaist.ac.kr Part 11: Mechanisms of Learning Reading: Bear, Connors, and Paradiso,

More information

Reciprocal inhibition controls the oscillatory state in thalamic networks

Reciprocal inhibition controls the oscillatory state in thalamic networks Neurocomputing 44 46 (2002) 653 659 www.elsevier.com/locate/neucom Reciprocal inhibition controls the oscillatory state in thalamic networks Vikaas S. Sohal, John R. Huguenard Department of Neurology and

More information

Functional reorganization in thalamocortical networks: Transition between spindling and delta sleep rhythms

Functional reorganization in thalamocortical networks: Transition between spindling and delta sleep rhythms Proc. Natl. Acad. Sci. USA Vol. 93, pp. 15417 15422, December 1996 Neurobiology Functional reorganization in thalamocortical networks: Transition between spindling and delta sleep rhythms D. TERMAN*, A.BOSE*,

More information

STRUCTURAL ELEMENTS OF THE NERVOUS SYSTEM

STRUCTURAL ELEMENTS OF THE NERVOUS SYSTEM STRUCTURAL ELEMENTS OF THE NERVOUS SYSTEM STRUCTURE AND MAINTENANCE OF NEURONS (a) (b) Dendrites Cell body Initial segment collateral terminals (a) Diagrammatic representation of a neuron. The break in

More information

Applied Neuroscience. Conclusion of Science Honors Program Spring 2017

Applied Neuroscience. Conclusion of Science Honors Program Spring 2017 Applied Neuroscience Conclusion of Science Honors Program Spring 2017 Review Circle whichever is greater, A or B. If A = B, circle both: I. A. permeability of a neuronal membrane to Na + during the rise

More information

Vizcarra-Chacón et al. BMC Neuroscience 2013, 14:60

Vizcarra-Chacón et al. BMC Neuroscience 2013, 14:60 Vizcarra-Chacón et al. BMC Neuroscience 2013, 14:60 RESEARCH ARTICLE Open Access Contribution of different classes of glutamate receptors in the corticostriatal polysynaptic responses from striatal direct

More information

Ube3a is required for experience-dependent maturation of the neocortex

Ube3a is required for experience-dependent maturation of the neocortex Ube3a is required for experience-dependent maturation of the neocortex Koji Yashiro, Thorfinn T. Riday, Kathryn H. Condon, Adam C. Roberts, Danilo R. Bernardo, Rohit Prakash, Richard J. Weinberg, Michael

More information

When cells are already maximally potentiated LTP is occluded.

When cells are already maximally potentiated LTP is occluded. When cells are already maximally potentiated LTP is occluded. Stein, V et al., (2003) J Neurosci, 23:5503-6606. Also found in Rat Barrel Cortex Ehrlich & Malinow (2004) J. Neurosci. 24:916-927 Over-expression

More information

A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current

A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current Zaneta Navratilova and Jean-Marc Fellous ARL Division of Neural Systems, Memory and Aging University of Arizona,

More information

Sample Lab Report 1 from 1. Measuring and Manipulating Passive Membrane Properties

Sample Lab Report 1 from  1. Measuring and Manipulating Passive Membrane Properties Sample Lab Report 1 from http://www.bio365l.net 1 Abstract Measuring and Manipulating Passive Membrane Properties Biological membranes exhibit the properties of capacitance and resistance, which allow

More information

Resonant synchronization of heterogeneous inhibitory networks

Resonant synchronization of heterogeneous inhibitory networks Cerebellar oscillations: Anesthetized rats Transgenic animals Recurrent model Review of literature: γ Network resonance Life simulations Resonance frequency Conclusion Resonant synchronization of heterogeneous

More information

Copyright Dr. Franklin B. Krasne, Swimmy

Copyright Dr. Franklin B. Krasne, Swimmy Copyright Dr. Franklin B. Krasne, 2008 Swimmy Advantages of Swimmy 1) Very faithful simulation of neural activity 2) Flawless electrode placement. 3) No extraneous noise issues--including extraneous biological

More information

Modeling Depolarization Induced Suppression of Inhibition in Pyramidal Neurons

Modeling Depolarization Induced Suppression of Inhibition in Pyramidal Neurons Modeling Depolarization Induced Suppression of Inhibition in Pyramidal Neurons Peter Osseward, Uri Magaram Department of Neuroscience University of California, San Diego La Jolla, CA 92092 possewar@ucsd.edu

More information

Electrophysiology. General Neurophysiology. Action Potentials

Electrophysiology. General Neurophysiology. Action Potentials 5 Electrophysiology Cochlear implants should aim to reproduce the coding of sound in the auditory system as closely as possible, for best sound perception. The cochlear implant is in part the result of

More information

Neurons. Pyramidal neurons in mouse cerebral cortex expressing green fluorescent protein. The red staining indicates GABAergic interneurons.

Neurons. Pyramidal neurons in mouse cerebral cortex expressing green fluorescent protein. The red staining indicates GABAergic interneurons. Neurons Pyramidal neurons in mouse cerebral cortex expressing green fluorescent protein. The red staining indicates GABAergic interneurons. MBL, Woods Hole R Cheung MSc Bioelectronics: PGEE11106 1 Neuron

More information

Synaptic Strength Modulation after Cortical Trauma: A Role in Epileptogenesis

Synaptic Strength Modulation after Cortical Trauma: A Role in Epileptogenesis 676 The Journal of Neuroscience, July 2, 28 28(27):676 6772 Neurobiology of Disease Synaptic Strength Modulation after Cortical Trauma: A Role in Epileptogenesis Sinziana Avramescu and Igor Timofeev Centre

More information

STRUCTURAL ORGANIZATION OF THE NERVOUS SYSTEM

STRUCTURAL ORGANIZATION OF THE NERVOUS SYSTEM STRUCTURAL ORGANIZATION OF THE NERVOUS SYSTEM STRUCTURAL ORGANIZATION OF THE BRAIN The central nervous system (CNS), consisting of the brain and spinal cord, receives input from sensory neurons and directs

More information

Plasticity of Cerebral Cortex in Development

Plasticity of Cerebral Cortex in Development Plasticity of Cerebral Cortex in Development Jessica R. Newton and Mriganka Sur Department of Brain & Cognitive Sciences Picower Center for Learning & Memory Massachusetts Institute of Technology Cambridge,

More information

Effect of Subthreshold Up and Down States on the Whisker-Evoked Response in Somatosensory Cortex

Effect of Subthreshold Up and Down States on the Whisker-Evoked Response in Somatosensory Cortex J Neurophysiol 92: 3511 3521, 2004. First published July 14, 2004; doi:10.1152/jn.00347.2004. Effect of Subthreshold Up and Down States on the Whisker-Evoked Response in Somatosensory Cortex Robert N.

More information

Chapter 11: Functional Organization of Nervous Tissue

Chapter 11: Functional Organization of Nervous Tissue Chapter 11: Functional Organization of Nervous Tissue I. Functions of the Nervous System A. List and describe the five major nervous system functions: 1. 2. 3. 4. 5. II. Divisions of the Nervous System

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION Supplementary Figure 1. Normal AMPAR-mediated fepsp input-output curve in CA3-Psen cdko mice. Input-output curves, which are plotted initial slopes of the evoked fepsp as function of the amplitude of the

More information

EEG workshop. Epileptiform abnormalities. Definitions. Dr. Suthida Yenjun

EEG workshop. Epileptiform abnormalities. Definitions. Dr. Suthida Yenjun EEG workshop Epileptiform abnormalities Paroxysmal EEG activities ( focal or generalized) are often termed epileptiform activities EEG hallmark of epilepsy Dr. Suthida Yenjun Epileptiform abnormalities

More information

Supplementary Information Supplementary Table 1. Quantitative features of EC neuron dendrites

Supplementary Information Supplementary Table 1. Quantitative features of EC neuron dendrites Supplementary Information Supplementary Table 1. Quantitative features of EC neuron dendrites Supplementary Table 2. Quantitative features of EC neuron axons 1 Supplementary Figure 1. Layer distribution

More information

Potassium Model for Slow (2-3 Hz) In Vivo Neocortical Paroxysmal Oscillations

Potassium Model for Slow (2-3 Hz) In Vivo Neocortical Paroxysmal Oscillations J Neurophysiol 92: 1116 1132, 2004. First published March 31, 2004; 10.1152/jn.00529.2003. Potassium Model for Slow (2-3 Hz) In Vivo Neocortical Paroxysmal Oscillations M. Bazhenov, 1 I. Timofeev, 2 M.

More information

Intracellular and Computational Characterization of the Intracortical Inhibitory Control of Synchronized Thalamic Inputs In Vivo

Intracellular and Computational Characterization of the Intracortical Inhibitory Control of Synchronized Thalamic Inputs In Vivo Intracellular and Computational Characterization of the Intracortical Inhibitory Control of Synchronized Thalamic Inputs In Vivo DIEGO CONTRERAS, ALAIN DESTEXHE, AND MIRCEA STERIADE Laboratoire de Neurophysiologie,

More information

Anatomy, Physiology, and Synaptic Responses of Rat Layer V Auditory Cortical Cells and Effects of Intracellular GABA A Blockade

Anatomy, Physiology, and Synaptic Responses of Rat Layer V Auditory Cortical Cells and Effects of Intracellular GABA A Blockade Anatomy, Physiology, and Synaptic Responses of Rat Layer V Auditory Cortical Cells and Effects of Intracellular GABA A Blockade BRENDA J. HEFTI AND PHILIP H. SMITH Department of Anatomy and Neuroscience

More information

SOMATO-DENDRITIC INTERACTIONS UNDERLYING ACTION POTENTIAL GENERATION IN NEOCORTICAL PYRAMIDAL CELLS

SOMATO-DENDRITIC INTERACTIONS UNDERLYING ACTION POTENTIAL GENERATION IN NEOCORTICAL PYRAMIDAL CELLS 167 SOATO-ENRITIC INTERACTIONS UNERLYING ACTION POTENTIAL GENERATION IN NEOCORTICAL PYRAIAL CELLS IN VIVO Alain estexhe, 1 Eric J. Lang 2 and enis Pare 1 1 Laboratoire de Neurophysiologie, Universite Laval,

More information

Outline of the next three lectures

Outline of the next three lectures Outline of the next three lectures Lecture 35 Anatomy of the human cerebral cortex gross and microscopic cell types connections Vascular supply of the cerebral cortex Disorders involving the cerebral cortex

More information

Cellular Mechanisms of Thalamically Evoked Gamma Oscillations in Auditory Cortex

Cellular Mechanisms of Thalamically Evoked Gamma Oscillations in Auditory Cortex Cellular Mechanisms of Thalamically Evoked Gamma Oscillations in Auditory Cortex WILLIAM SUKOV AND DANIEL S. BARTH Department of Psychology, University of Colorado, Boulder, Colorado 80309-0345 Received

More information

CASE 48. What part of the cerebellum is responsible for planning and initiation of movement?

CASE 48. What part of the cerebellum is responsible for planning and initiation of movement? CASE 48 A 34-year-old woman with a long-standing history of seizure disorder presents to her neurologist with difficulty walking and coordination. She has been on phenytoin for several days after having

More information

Relative contributions of cortical and thalamic feedforward inputs to V2

Relative contributions of cortical and thalamic feedforward inputs to V2 Relative contributions of cortical and thalamic feedforward inputs to V2 1 2 3 4 5 Rachel M. Cassidy Neuroscience Graduate Program University of California, San Diego La Jolla, CA 92093 rcassidy@ucsd.edu

More information

Cortical Feedback Controls the Frequency and Synchrony of Oscillations in the Visual Thalamus

Cortical Feedback Controls the Frequency and Synchrony of Oscillations in the Visual Thalamus The Journal of Neuroscience, October 1, 2000, 20(19):7478 7488 Cortical Feedback Controls the Frequency and Synchrony of Oscillations in the Visual Thalamus Thierry Bal, 1 Damien Debay, 1 and Alain Destexhe

More information

Introduction to Computational Neuroscience

Introduction to Computational Neuroscience Introduction to Computational Neuroscience Lecture 7: Network models Lesson Title 1 Introduction 2 Structure and Function of the NS 3 Windows to the Brain 4 Data analysis 5 Data analysis II 6 Single neuron

More information

Supplementary figure 1: LII/III GIN-cells show morphological characteristics of MC

Supplementary figure 1: LII/III GIN-cells show morphological characteristics of MC 1 2 1 3 Supplementary figure 1: LII/III GIN-cells show morphological characteristics of MC 4 5 6 7 (a) Reconstructions of LII/III GIN-cells with somato-dendritic compartments in orange and axonal arborizations

More information

TNS Journal Club: Interneurons of the Hippocampus, Freund and Buzsaki

TNS Journal Club: Interneurons of the Hippocampus, Freund and Buzsaki TNS Journal Club: Interneurons of the Hippocampus, Freund and Buzsaki Rich Turner (turner@gatsby.ucl.ac.uk) Gatsby Unit, 22/04/2005 Rich T. Introduction Interneuron def = GABAergic non-principal cell Usually

More information

Inhibition: Effects of Timing, Time Scales and Gap Junctions

Inhibition: Effects of Timing, Time Scales and Gap Junctions Inhibition: Effects of Timing, Time Scales and Gap Junctions I. Auditory brain stem neurons and subthreshold integ n. Fast, precise (feed forward) inhibition shapes ITD tuning. Facilitating effects of

More information

Impact of Network Activity on the Integrative Properties of Neocortical Pyramidal Neurons In Vivo

Impact of Network Activity on the Integrative Properties of Neocortical Pyramidal Neurons In Vivo Impact of Network Activity on the Integrative Properties of Neocortical Pyramidal Neurons In Vivo ALAIN DESTEXHE AND DENIS PARÉ Laboratoire de Neurophysiologie, Département de Physiologie, Université Laval,

More information

Supporting Information

Supporting Information ATP from synaptic terminals and astrocytes regulates NMDA receptors and synaptic plasticity through PSD- 95 multi- protein complex U.Lalo, O.Palygin, A.Verkhratsky, S.G.N. Grant and Y. Pankratov Supporting

More information

Thalamocortical Feedback and Coupled Oscillators

Thalamocortical Feedback and Coupled Oscillators Thalamocortical Feedback and Coupled Oscillators Balaji Sriram March 23, 2009 Abstract Feedback systems are ubiquitous in neural systems and are a subject of intense theoretical and experimental analysis.

More information

Clarke's Column Neurons as the Focus of a Corticospinal Corollary Circuit. Supplementary Information. Adam W. Hantman and Thomas M.

Clarke's Column Neurons as the Focus of a Corticospinal Corollary Circuit. Supplementary Information. Adam W. Hantman and Thomas M. Clarke's Column Neurons as the Focus of a Corticospinal Corollary Circuit Supplementary Information Adam W. Hantman and Thomas M. Jessell Supplementary Results Characterizing the origin of primary

More information

The Functional Influence of Burst and Tonic Firing Mode on Synaptic Interactions in the Thalamus

The Functional Influence of Burst and Tonic Firing Mode on Synaptic Interactions in the Thalamus The Journal of Neuroscience, November 15, 1998, 18(22):9500 9516 The Functional Influence of Burst and Tonic Firing Mode on Synaptic Interactions in the Thalamus Uhnoh Kim and David A. McCormick Section

More information

Tonic and burst firing: dual modes of thalamocortical relay

Tonic and burst firing: dual modes of thalamocortical relay 1 Review Vol. No. February 1 Tonic and burst firing: dual modes of thalamocortical relay S. Murray Sherman All thalamic relay cells exhibit two distinct response modes tonic and burst that reflect the

More information

Antiepileptic agents

Antiepileptic agents Antiepileptic agents Excessive excitability of neurons in the CNS Abnormal function of ion channels Spread through neural networks Abnormal neural activity leads to abnormal motor activity Suppression

More information

Barrel Cortex Microcircuits: Thalamocortical Feedforward Inhibition in Spiny Stellate Cells Is Mediated by a Small Number of Fast-Spiking Interneurons

Barrel Cortex Microcircuits: Thalamocortical Feedforward Inhibition in Spiny Stellate Cells Is Mediated by a Small Number of Fast-Spiking Interneurons The Journal of Neuroscience, January 25, 2006 26(4):1219 1230 1219 Behavioral/Systems/Cognitive Barrel Cortex Microcircuits: Thalamocortical Feedforward Inhibition in Spiny Stellate Cells Is Mediated by

More information

Brain anatomy and artificial intelligence. L. Andrew Coward Australian National University, Canberra, ACT 0200, Australia

Brain anatomy and artificial intelligence. L. Andrew Coward Australian National University, Canberra, ACT 0200, Australia Brain anatomy and artificial intelligence L. Andrew Coward Australian National University, Canberra, ACT 0200, Australia The Fourth Conference on Artificial General Intelligence August 2011 Architectures

More information

What do you notice? Edited from

What do you notice? Edited from What do you notice? Edited from https://www.youtube.com/watch?v=ffayobzdtc8&t=83s How can a one brain region increase the likelihood of eliciting a spike in another brain region? Communication through

More information

Outline. Neuron Structure. Week 4 - Nervous System. The Nervous System: Neurons and Synapses

Outline. Neuron Structure. Week 4 - Nervous System. The Nervous System: Neurons and Synapses Outline Week 4 - The Nervous System: Neurons and Synapses Neurons Neuron structures Types of neurons Electrical activity of neurons Depolarization, repolarization, hyperpolarization Synapses Release of

More information

Scaling a slow-wave sleep cortical network model using NEOSIM*

Scaling a slow-wave sleep cortical network model using NEOSIM* NEUROCOMPUTING ELSEVIER Neurocomputing 44-46 (2002) 453-458 Scaling a slow-wave sleep cortical network model using NEOSIM* adivision of Informatics, Institute for Adaptive and Neural Computation, University

More information

Nervous System, Neuroanatomy, Neurotransmitters

Nervous System, Neuroanatomy, Neurotransmitters Nervous System, Neuroanatomy, Neurotransmitters Neurons Structure of neurons Soma Dendrites Spines Axon Myelin Nodes of Ranvier Neurons Structure of neurons Axon collaterals 1 Neurons Structure of neurons

More information

Long-term potentiation and. horizontal connections in rat motor cortex. Grzegorz ~ess' and John P. ~ ono~hue~

Long-term potentiation and. horizontal connections in rat motor cortex. Grzegorz ~ess' and John P. ~ ono~hue~ Long-term potentiation and horizontal connections in rat motor cortex Grzegorz ~ess' and John P. ~ ono~hue~ l~e~artment of Animal Physiology, Institute of Zoology, Jagiellonian University, 6 Ingarden St.,

More information

Electrophysiological and firing properties of neurons: categorizing soloists and choristers in primary visual cortex

Electrophysiological and firing properties of neurons: categorizing soloists and choristers in primary visual cortex *Manuscript Click here to download Manuscript: Manuscript revised.docx Click here to view linked Referenc Electrophysiological and firing properties of neurons: categorizing soloists and choristers in

More information

LECTURE 2. C. Reason correlation and synaptic delay not enough to prove direct connection. D. Underlying mechanism behind oscillations possibilities

LECTURE 2. C. Reason correlation and synaptic delay not enough to prove direct connection. D. Underlying mechanism behind oscillations possibilities LECTURE 2 A. Identifying Swimmy neurons B. Finding E and I inputs to cells 1 and 2 C. Reason correlation and synaptic delay not enough to prove direct connection D. Underlying mechanism behind oscillations

More information

Neocortex. Cortical Structures in the Brain. Neocortex Facts. Laminar Organization. Bark-like (cortical) structures: Shepherd (2004) Chapter 12

Neocortex. Cortical Structures in the Brain. Neocortex Facts. Laminar Organization. Bark-like (cortical) structures: Shepherd (2004) Chapter 12 Neocortex Shepherd (2004) Chapter 12 Rodney Douglas, Henry Markram, and Kevan Martin Instructor: Yoonsuck Choe; CPSC 644 Cortical Networks Cortical Structures in the Brain Bark-like (cortical) structures:

More information

HHS Public Access Author manuscript Nat Neurosci. Author manuscript; available in PMC 2014 September 19.

HHS Public Access Author manuscript Nat Neurosci. Author manuscript; available in PMC 2014 September 19. Selective optical drive of thalamic reticular nucleus generates thalamic bursts & cortical spindles Michael M. Halassa 1,2,4, Joshua H. Siegle 2,4, Jason T. Ritt 3, Jonathan T. Ting 2, Guoping Feng 2,

More information

10.1: Introduction. Cell types in neural tissue: Neurons Neuroglial cells (also known as neuroglia, glia, and glial cells) Dendrites.

10.1: Introduction. Cell types in neural tissue: Neurons Neuroglial cells (also known as neuroglia, glia, and glial cells) Dendrites. 10.1: Introduction Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Cell types in neural tissue: Neurons Neuroglial cells (also known as neuroglia, glia, and glial

More information

Cellular mechanisms of information transfer: neuronal and synaptic plasticity

Cellular mechanisms of information transfer: neuronal and synaptic plasticity Cellular mechanisms of information transfer: neuronal and synaptic plasticity Ivan Pavlov (UCL Institute of Neurology, UK) Anton Chizhov (Ioffe Physical Technical Institute) Pavel Zykin (St.-Petersburg

More information

Exploring the Functional Significance of Dendritic Inhibition In Cortical Pyramidal Cells

Exploring the Functional Significance of Dendritic Inhibition In Cortical Pyramidal Cells Neurocomputing, 5-5:389 95, 003. Exploring the Functional Significance of Dendritic Inhibition In Cortical Pyramidal Cells M. W. Spratling and M. H. Johnson Centre for Brain and Cognitive Development,

More information

Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex

Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex Christoph Kapfer 1,2, Lindsey L Glickfeld 1,3, Bassam V Atallah 1,3 & Massimo Scanziani 1 The balance between

More information

Na + K + pump. The beauty of the Na + K + pump. Cotransport. The setup Cotransport the result. Found along the plasma membrane of all cells.

Na + K + pump. The beauty of the Na + K + pump. Cotransport. The setup Cotransport the result. Found along the plasma membrane of all cells. The beauty of the Na + K + pump Na + K + pump Found along the plasma membrane of all cells. Establishes gradients, controls osmotic effects, allows for cotransport Nerve cells have a Na + K + pump and

More information