Placing Hippocampal Single-Unit Studies in a Historical Context

Size: px
Start display at page:

Download "Placing Hippocampal Single-Unit Studies in a Historical Context"

Transcription

1 HIPPOCAMPUS 9: (1999) Placing Hippocampal Single-Unit Studies in a Historical Context Phillip J. Best* and Aaron M. White Department of Psychology and Center for Neuroscience, Miami University, Oxford, Ohio ABSTRACT: A profound increase in the study of the role of the hippocampus in behavior and cognitive processing resulted from the startling discovery by O Keefe and Dostrovsky in 1971 that hippocampal neurons fire selectively in different regions or place fields of an environment. That discovery spawned a comprehensive theory of hippocampal function that was elucidated in the publication, The Hippocampus as a Cognitive Map by O Keefe and Nadel in According to the theory, the hippocampus serves as the neural substrate for maps of allocentric space. The goal of this paper is to revisit the historical background for the development of the cognitive map theory and to examine the context in which the theory and the phenomenon of place field activity began to gain acceptance by the scientific community. While subsequent research has led some to question if the theory can adequately account for all consequences of hippocampal lesions and all the correlates of hippocampal cellular activity, it is clear the theory has stood the test of time and has been successful in generating an enormous amount of fruitful research. Hippocampus 1999;9: Wiley-Liss, Inc. KEY WORDS: place cells; place fields; cognitive map; navigation In the 20 years since the publication of The Hippocampus as a Cognitive Map (O Keefe and Nadel, 1978), the cognitive mapping theory has become one of the preeminent theories of hippocampal function in cognitive processing. The theory proposes that the hippocampus serves as the neural substrate for maps of allocentric space. Such maps free organisms from the confines of stimulus-response (S-R) interactions with the environment, and allow them to anticipate the existence of important stimuli from a distance. For instance, internal representations of the environment, or cognitive maps, allow organisms to avoid locations in the world where predators have been encountered, and to approach distant locations known to contain food, water, or mates. Since the publication of the theory, all new theories regarding hippocampal function in animals have been stated, by necessity, in juxtaposition to the cognitive mapping theory. Further, most studies investigating the effects of hippocampal lesions on behavior, or examining the behavioral correlates of hippocampal single-unit activity, are designed to test some facet of the cognitive mapping theory. Even when lesion and recording studies are not designed to directly address the cognitive mapping theory, the results are typically interpreted in light of it. The seed for O Keefe and Nadel s theory was actually planted during the first half of this century with the work of E.C. Tolman. In the 1930s, when the central theme of American behavioral psychology was that all forms of knowing and understanding in rats and humans are merely the result of Grant sponsor: NSF; Grant number: IBN *Correspondence to: Phillip J. Best, D epartment of Psychology, Benton H all, Miami U niversity, O xford, O H bestpj@muohio.edu Accepted for publication 3 May 1999 complex S-R or S-S conditioning, Tolman and his students espoused views that were much more in line with those of the Gestaltists than the Behaviorists. Tolman s observations of rats performing maze tasks led him to conclude that animals do not simply learn to complete such tasks on the basis of S-R relationships. He believed that rats learn to complete such tasks by creating and using maps of the environment. In his own words, In the course of learning, something like a field map of the environment gets established in the rat s brain (Tolman, 1948). Such maps represent the environment as a configuration of elements, a gestalt, that allows the subject to navigate flexibly, approaching the food reward along the shortest route possible from any given location. A study performed by Tolman et al. (1946) represents a prime example of such flexible navigation. Rats were trained on an elevated maze to traverse a particular circuitous route to obtain a food reward. During a probe trial, the alley previously used to approach the reward location was blocked, and subjects were forced to enter one of 18 new alleys radiating out from the maze. A large proportion of the subjects chose the novel alley that led directly towards the reward location. Tolman believed that such choice behavior was only possible with the use of a spatial map, and that the behavior was driven by the expectation that the novel alley would serve as the shortest route to the location containing food. Because maps of the environment afforded the expectation of reward in a particular location, Tolman (1948) considered the maps to be cognitive. The debate between supporters of Tolman and the S-R theorists, including Hull and his students, continued through the 1940s and well into the 1950s. Contemporary cognitive scientists hold a somewhat sardonic view of this debate, Place learning organisms, guided by cognitive maps in their heads, successfully negotiated obstacle courses at Berkeley, while their response learning counterparts, propelled by habits and drives, performed similar feats at Yale (Tulving and Madigan, 1970). To many, the controversy regarding the existence of cognitive maps was finally put to rest in 1957 with the publication of a paper by Restle (1957), a student of Hull s, entitled A resolution of the place-vs WILEY-LISS, INC.

2 HIPPOCAMPAL PLACE CELL RESEARCH 347 response question. Restle argued that even in Tolman s experiments, the rat s behavior could be accounted for by S-R learning to extramaze cues. Thus, there was no need to assume that the rat s behavior was guided by an internal representation of the environment. While the idea of cognitive maps was dismissed by the mainstream, some investigators continued to attribute the persistence of position habits and the observation of apparently spatial hypotheses as strong evidence for the existence of an internal representation of space or a cognitive map. Most notable among the spatial mapping holdouts was D.O. Hebb (1961), who has had a profound influence on many aspects of modern neuroscience, through his theories, and also through his influence on his students at McGill (including O Keefe and Nadel). Much of the early evidence provided by O Keefe and Nadel in support of their theory came from a reexamination of the lesion literature, and most of the subsequent experiments testing the theory examined the effects of hippocampal lesions. However, the primary impetus for the theory was a finding reported by O Keefe and Dostrovsky in The authors reported that the firing rates of a number of hippocampal neurons appeared to be closely linked to an animal s location in the environment. Given the link between the location of the animal and the activity of the cell, the authors referred to such neurons as place-cells. Without this remarkable discovery, it is unlikely that the cognitive map theory would have been developed. Of course, the discovery of place-cells could not have occurred until the appropriate recording techniques had been developed. Before discussing the early place-cell work, we will first turn to a discussion of the historical development of techniques used to record from freely behaving animals. It had been a goal of neuroscientists to record activity in brains of freely behaving animals since Adrian and Zotterman (1926) first recorded the activity of peripheral sensory nerves. The development of the glass pipette microelectrode by Ling and Gerard (1949) made it possible to impale individual neurons and, thus, detect changes in the transmembrane potentials. However, the technique did not permit holding cells in the brains of breathing, let alone behaving, animals. The development of the etched metal electrode for extracellular recording by Hubel (1957) and Jasper et al. (1960) made it possible to record single cell activity in conscious mammals, and permitted significant advances in the study of sensory processing (Hubel and Weisel, 1959; Mountcastle, 1961), motor function (Evarts, 1966; Fetz, 1969), and sleep (Huttonlocher, 1961). However, etched electrodes have some limitations. It is difficult to hold cells for extended periods of time, especially in freely behaving animals. A major breakthrough was made by Felix Strumwasser (1958), who developed a method of implanting microwires into the brain of squirrels to study neuronal activity during hibernation. Rather than the electrode tip being etched to a fine point, the wire was merely cut tangential to its axis, and the cross-section of the blunt electrode tip served as the recording surface. An advantage of the microwire electrode was that it appeared to hold cells for long periods of time even when the animal engaged in vigorous activity. Originally, the wires were cemented to the skull in an anesthetized animal, and the recording was done after the animal recovered from the anesthesia. Unfortunately, the yield could be quite low, or the isolation quite poor, because, during recovery from anesthesia, the electrode might shift with respect to the brain. If an experienced surgeon implanted eight to ten electrodes in an animal, then, following recovery, one would find viable unit activity with acceptable signal-to-noise ratio on two or three electrodes. The activity from each electrode was passed through discriminatory circuits to insure that only waveforms with specific characteristics were counted as the activity from one neuron. James Olds was the first to develop a comprehensive research program using these techniques (Olds, 1965). Shortly thereafter, a number of laboratories began employing similar recording techniques to address a variety of questions concerning the relationship of brain cell activity to various behaviors. While recording hippocampal single unit activity in freely behaving rats, O Keefe and Dostrovsky (1971) stumbled across place field activity. Their initial manuscript describing place-cells was hardly the shot heard round the world. In fact, it provided hardly a blip on the oscilloscope traces of those who had been studying the relationship of hippocampal cellular activity to behavior. It was a brief report in Brain Research, which provided very little information about the activity of a few vaguely described cells that appeared to have spatial properties. The manuscript reported on the activity of 76 neurons. Only three of these cells showed a maximal firing rate in a particular part of the testing platform, irrespective of the animal s, or the experimenter s, behavior. Five additional cells appeared to respond in some way, when the animal was in a moderate state of arousal, was situated in the correct part of the testing platform, and for 4 of the 5, was receiving, in addition, the appropriate sensory stimulus. One of these cells required that the animal was, simultaneously lightly but firmly restrained by a hand placed over its back with thumb and index finger [the experimenter s] on its shoulder and upper arm. Needless to say, the initial reaction to O Keefe and Dostrovsky s paper varied from cautious skepticism to disdainful indifference to outright cynicism. In fact, none of those who were recording hippocampal activity in freely behaving rats at that time rushed into their laboratories to attempt to replicate the phenomenon. The next piece of evidence for the cognitive map hypothesis did not appear until 4 years later, when the first lesion study testing the theory was published (O Keefe et al., 1975). This paper, while less startling in its claims than the unit recording paper, also evoked little notice among the then current hippocampologists. Some notice was taken of a chapter by Nadel and O Keefe (1974) that laid out the basic ideas for the cognitive map theory. However, it was hard to ignore a provocative review article by Nadel et al. (1975) that challenged the use of a more traditional response inhibition model of hippocampal function to interpret the behavioral effects of hippocampal lesions. Also, around , a photocopied preprint of the book was circulated underground among a small circle of the hippocampal cognoscenti, much in the clandestine manner of a radical political tract in a fascist regime. Even though the theory was beginning to attract some interest, it was only one of a number of seemingly plausible theories of

3 348 BEST AND WHITE hippocampal function at that time. In addition to a role in spatial navigation, the hippocampus was implicated in orienting behavior (Grastyan, 1959), habituation (Hirano et al., 1970), short-term memory (Milner and Penfield, 1955), learning (Olds and Hirano, 1969), information processing (Adey, 1967), behavioral arousal (Green and Arduini, 1954; Mink et al., 1967), voluntary movement (Vanderwolf, 1969), response inhibition (Douglas, 1967), and rhythmic behavior (Komisaruk, 1970). Hippocampal recording studies continued to examine other phenomena such as orienting behavior (Vinogradova, 1970; Mays and Best, 1975), stages of sleep and arousal (Noda et al., 1969; Olmstead et al., 1973), learning (Best and Best, 1976; Segel et al., 1972), and various behaviors (Ranck, 1973). On considering the possible value of the different theories in the literature at that time, James Olds (personal communication) offered the opinion that theories of hippocampal function were nearly as numerous as the paradigms that had been used to elaborate its function. In 1973, Ranck reported a study of the relationship between hippocampal cellular activity and various behaviors, using an approach that he called neuroethology. The term was meant to capture the idea of carefully observing the animal s behavior, and noting the particular behavior the animal exhibited around the time that the cell fired. He found that the activity of individual hippocampal neurons fell into a small number of classes, each with a very specific relationship to various aspects of the animal s behavior. For example, one type of cell called an approachconsummate cell, might fire as the animal approached a food cup and started eating. Another type, called a motion punctuate cell, might fire as the animal terminated a specific behavior. One cell even fired as the rat bit the experimenter. One conclusion that can be drawn from Ranck s study is that the neuroethological approach does not produce verbal economy. It requires a very high ratio of words per cell. The manuscript is 85 pages long! However, a very important contribution of Ranck s paper was the observation that there are two distinct classes of cellular activity in the hippocampus: the complex spike cells, which have been demonstrated to be the pyramidal cells (the primary output cells of the hippocampus), and theta cells, which are now known to be interneurons (see also Fox and Ranck, 1975, 1981). While Ranck s extensive study revealed a wide variety of behavioral correlates, it found no tight relationship between cellular activity and the animal s location in the environment. It was not until 1976 that the first full-length manuscript on hippocampal place cells appeared in print (O Keefe, 1976). This study reported on 50 hippocampal neurons, 26 of which exhibited place field activity, and 16 of which were theta cells. For six place cells, location alone was necessary but not sufficient to evoke maximal activity. These cells, labeled misplace cells, fired maximally during exploratory behavior through the place field. A subsequent study demonstrated that the place fields of hippocampal neurons were affected in predictable and logical ways by various environmental manipulations (O Keefe and Conway, 1978). For example, removal or movement of any one room cue did not disrupt place field activity, yet rotation of the majority of room cues surrounding the rat caused a predictable relocation of the place fields. The fields maintained the same juxtaposition to the room cues as before rotation. These studies provided compelling evidence for the existence of place field activity, and began to stimulate the study of place cells in other laboratories. The first study outside of O Keefe s laboratory to demonstrate the existence of place cells was not originally designed to do so. It was a rank accident. During the summer that Richard Nixon resigned the presidency, Best and Ranck collaborated on a study in Ranck s laboratory at the University of Michigan, to reexamine Ranck s (1973) behavioral categories of hippocampal neurons. The goal was to use a more systematic method of data collection and obtain a more objective classification of behavioral correlates than Ranck had found in his previous study. They made videotapes of their recording sessions, which they eventually showed to naïve observers (students who had just completed Best s course in psychobiology at the University of Virginia). One of the first complex spike cells that Best and Ranck encountered appeared to fire when the animal approached a cup of water and drank. Ranck immediately recognized the cell as an approach-consummate cell. However, it also fired when the animal approached the location of the water cup, even when the cup was missing. Ranck now recognized the cell as an approachconsummate-mismatch cell. The cell did not fire when the rat found the water cup in a different place. Ranck now saw the cell as a motion-punctuate cell. We have it on reliable authority that Best, who had until that time cynically dismissed the very idea of place cells, recognized the cell as having place field properties. Best now decided to determine if Ranck was a clever enough neuroethologist to notice the cell s relationship to the rat s location, as he lured the animal through the place field with food and water, and chased the animal through the field by pinching its tail. Just as Best was about to give up, Ranck blurted out, Oh, this is going to make John O Keefe so happy. We understand that Ranck s version of this story is a bit different. When one sees a hippocampal neuron fire in its place field, it is hard to imagine how anyone could miss the relationship. It is very difficult to convey in words the compelling nature of place field activity. Even the oscilloscope traces or false color rate maps presented in many of the manuscripts fail to capture the distinctly close relationship between the activity of the place cell and its typically very small and circumscribed place field. The same cell that fires over 20 times a second inside its place field can be very quiescent outside of the place field, often firing less than once a minute. Interestingly, even the naïve observers of Best and Ranck s videotapes recognized the place field activity of most of the complex spike cells, and agreed upon the location of the fields (Best and Ranck, 1975, 1982). The first study outside of O Keefe s lab that was specifically designed to investigate place field activity was performed by Olton et al. (1978a), using the radial arm maze, an apparatus developed by Olton and Samuelson (1976), Olton had discovered that animals with lesions of the hippocampus or related structures were incapable of effectively foraging for food on the radial arm maze (Olton et al., 1978b). The maze seemed an appropriate environment in which to study hippocampal place cells systematically, because it permitted a completely objective analysis of the location of place fields. As the animal traversed the maze, there was little question as to which arm the animal occupied when the cells fired.

4 HIPPOCAMPAL PLACE CELL RESEARCH 349 While Olton eventually adopted the position that the role of the hippocampus was to provide the substrate for working memory, rather than cognitive maps, the radial arm maze has played a major role in studies of cognitive mapping. It has become one of the most widely used apparatuses for the study of cognition in the rat. A symposium entitled The hippocampus as a spatial analyzer was presented at the 1977 meeting of the Society for Neuroscience. The main thrust of that symposium was the demonstration that place field activity was indeed a reliable and replicable property of hippocampal pyramidal cells. By the late 1970s and early 1980s, once the existence of place cells had clearly been established, researchers began to focus on more fundamental questions regarding the nature of place cell activity. For instance, what types of environmental information does the brain rely on to determine the animal s location in space? Is a particular sensory modality dominant for an animal to determine its location, or are a variety of types of sensory information equally weighted? Are place cells driven solely by information currently in the environment, or can place cell activity be influenced by such factors as memory or motivational state? Do these cells truly represent spatial locations, or could it be that the hippocampus is involved in a more general process, of which building spatial maps is simply one example? Subsequent work has addressed questions about the specific nature of environmental information that permits the animal to know its location in space. It appears that stable visual cues, when present, provide the preferred source of information used to support place cell activity. When only one salient visual cue is present, it can exert control over the location of a place field. Rotations of that cue are accompanied by rotations of the place field (Muller and Kubie, 1987). When a small set of proximal maze cues and distal wall cues are provided, visual cues still predominate, and size of the place fields and the within-field firing rates of the cells can be predictably and reversibly altered by the removal of individual visual cues (Hetherington and Shapiro, 1997). It has also been demonstrated that, in an environment in which the configuration of visual cues remains constant, the locations of place fields are extremely stabile for long periods of time, in one case up to 153 days (Thompson and Best, 1990). In the absence of visual information, it appears that subjects can utilize whatever information is available to attempt to locate themselves in the environment. Hippocampal place cells are found to have well-defined, reliable place fields in blindfolded and deafened rats on a radial arm maze. The place fields of some cells are determined by proximal cues on the maze. Other cells show place fields that rely upon internal data, such as vestibular or proprioceptive information, to track their location in their internal map of the environment (Hill and Best, 1981). Recent work has also demonstrated that, even when stable visual cues are present, place field activity can be influenced by salient tactile and olfactory information (Shapiro et al., 1997). The activity of place cells is not simply determined by the nature of the sensory information impinging on the animal at the time it is in the place field. Place cells are not merely sensory neurons, exclusively under the control of stimuli currently in the environment. Under certain conditions, place field activity can be more strongly influenced by the animal s recent experiences than by current external stimuli in the environment (Quirk et al., 1990). Further evidence that hippocampal place cells are not merely sensory neurons, but are highly influenced by various intra-head variables, is provided by O Keefe and Speakman (1987), who trained rats on a radial arm maze to select a goal-arm that was defined by its location with respect to set of salient distal cues. The set of cues was rotated to a different position prior to the beginning of each trial. Subjects rapidly learned to choose the correct goal-arm, and the activity of most of the place cells rotated with the cues. On some trials, the cues were removed before subjects were allowed to choose the goal-arm. Most of the time, the rats were capable of choosing correctly, and the place fields remained constant relative to the now absent cues. So, even in the absence of the cues, the subject s memory of the room layout was sufficient to maintain both the accuracy of choice behavior and the location specific firing of the place cells. On other trials, when the cues were removed prior to placing the subjects on the maze, choice accuracy obviously fell to chance. However, on these trials the locations of the place fields were far from random. Their locations were highly predictable based upon the location of the arm that the subject chose as the goal-arm. The cells fired when the animal evidently thought he was in the place field. If hippocampal place cells are the substrate of the cognitive map, then lesions of the hippocampus should selectively disrupt spatial behaviors that rely upon a functioning cognitive map, and lesions of inputs to the hippocampus should disrupt both spatial behavior and place field activity. Studies of the effects of lesions of hippocampal connections on place cell activity have not produced a clear picture. Some studies have found reliable effects of fimbria-fornix and entorhinal cortex lesions on place-field activity. Entorhinal lesions virtually abolish place field activity in hippocampal neurons (Miller and Best, 1980). Fimbria fornix lesions reduce the precision of place field activity by increasing the rate of activity outside the field and increasing the field size. They also change the nature of the external stimuli that influence field location (Miller and Best, 1980; Shapiro et al., 1989). However, a number of studies on the effects of lesions of the medial septal nucleus, dentate gyrus, and various hippocampal regions have failed to find reliable changes in the nature of place field activity (McNaughton et al., 1989; Mizumori et al., 1989). Despite the compelling nature of place field activity, and the effects of hippocampal lesions on spatial navigation tasks, there is considerable evidence from lesion and recording studies that the concept of a cognitive map might not totally capture the function of the hippocampus. Hippocampal lesions have been found to cause disruption in some explicitly non-spatial tasks, for which a cognitive mapping strategy appears to be irrelevant. Such lesions disrupt performance on certain non-spatial working memory tasks (Rawlins et al., 1993) and tasks that require non-spatial configural or contextual processing, such as occasion setting tasks, in which one stimulus indicates whether another stimulus will be reinforced (Eichenbaum and Weiner, 1989; Sutherland and Rudy, 1989). Other studies have shown a close relationship between

5 350 BEST AND WHITE hippocampal pyramidal cell activity and factors other than the rat s location in space (Eichenbaum et al., 1987; Hampson et al., 1993). In rabbits, hippocampal neurons show well-defined reliable conditioned responses very early in conditioning, prior to the elaboration of conditioned behavioral responses (Berger et al., 1980; Seager et al., 1997). The effects of hippocampal lesions on non-spatial performance, coupled with the non-spatial correlates of hippocampal pyramidal cell activity, suggest that the hippocampus might be involved in a more general fundamental process, of which cognitive mapping is a specific example. While the Cognitive Mapping Theory might require some minor revisions, it has stood the test of time. It clearly meets Popper s requirements for a good theory (Popper, 1959). It is testable, and it has generated a substantial amount of informative research. The results of the last 25 years of research indicate that the hippocampus is intimately involved in the processing underlying the formation of Tolman s cognitive maps. To date, there is no better explanation for the profound effects of hippocampal lesions on spatial navigation, or for the compelling phenomenon of hippocampal place field activity. The importance of the extraordinary discovery of place field activity, and the development of the comprehensive cognitive mapping theory has not only dramatically impacted the study of the role of the hippocampus in behavior, it has produced a significant paradigm shift (Kuhn, 1970) in the study of brain mechanisms of behavior. REFERENCES Adey WR Intrinsic organization of cerebral tissue in alerting, orienting and discriminative responses. In: Quarton GC, Melnechuck T, Schmitt FO, eds. The neurosciences: A study program. New York: Rockefeller University Press. p Adrian ED, Zotterman Y The impulses produced by sensory nerve endings. II. The response of a single nerve end organ. J Physiol (Lond) 243: Berger TW, Laham, RI, Thompson RF Hippocampal unitbehavior correlations during classical conditioning. Brain Res 193: Best MR, Best PJ The effects of state of consciousness and latent inhibition on hippocampal unit activity in the rat during conditioning. Exp Neurol 51: Best PJ, Ranck JB Reliability of the relationship between hippocampal unit activity and behavior in the rat. Soc Neurosci Abstr 1:837. Best PJ, Ranck JB The reliability of the relationship between hippocampal unit activity and sensory-behavioral events in the rat. Exp Neurol 75: Douglas RJ The hippocampus and Behavior. Psychol Bulletin 67: Eichenbaum H, Wiener SI Is place the (only) functional correlate? Psychobiology 17: Eichenbaum H, Kuperstein M, Fagan A, Nagode J Cue-sampling and goal-approach correlates of hippocampal unit activity in rats performing an odor-discrimination task. J Neurosci 7: Evarts EV Pyramidal tract activity associated with conditioned hand movement in the monkey. J Neurophysiol 29: Fetz EE Operant conditioning of cortical unit activity. Science 163: Fox SE, Ranck JB Jr Localization and anatomical identification of theta and complex spike cells in dorsal hippocampal formation of rats. Exp Neurol 49: Fox SE, Ranck JB Jr Electrophysiological characteristics of hippocampal complex-spike and theta cells. Exp Brain Res 41: Grastyan E The hippocampus and higher nervous activity. In: Brazier MAB, ed. The central nervous system and behavior. Transactions of the 2nd conference. New York: Macy Foundation, Green JD, Arduini A Hippocampal electrical activity in arousal. J Neurophysiol 17: Hampson RE, Heyser CJ, Deadwyler SA Hippocampal cell firing correlates of delayed match-to-sample performance in the rat. Behav Neurosci 107: Hebb DO The organization of behavior, a neuropsychological theory. New York: Science Edition Inc, Hetherington PA, Shapiro ML Hippocampal place fields are altered by the removal of single visual cues in a distance dependant manner. Behav Neurosci 111: Hill AJ, Best PJ Effects of deafness and blindness on the spatial correlates of hippocampal unit activity in the rat. Exp Neurol 74: Hirano T, Best P, Olds J Units during habituation, discrimination learning, and extinction. Electroencephal clin Neurophysiol 28: Hubel DH Tungsten microelectrodes for recording single units. Science 125: Hubel DH, Wiesel TN Receptive fields of single neurons in the cat s striate cortex. J Physiol 148: Huttenlocher PR Evoked and spontaneous activity of single of medial brainstem during natural sleep and waking. J Neurophysiol 24: Jasper H, Ricci GF, Doane, B Microelectrode analysis of cortical cell discharge during avoidance conditioning in the monkey. Electroencephal Clin Neurophysiol 27: Komisaruk B Synchrony between limbic system theta activity and rhythmic behavior. J Comp Physiol Psychol 70: Kuhn T The structure of scientific revolutions, 2nd ed. Chicago: University of Chicago Press. Ling G, Gerard RW The normal membrane potential of frog sartotius fibres. J Cell Comp Physiol 71: Mays LE, Best PJ Hippocampal unit activity to tonal stimuli during arousal from sleep and in awake rats. Exp Neurol 47: McNaughton BL, Barnes CA, Meltzer J, Sutherland RJ Hippocampal granule cells are necessary for normal spatial learning but not for spatially selective pyramidal cell discharge. Exp Brain Res 76: Miller VM, Best PJ Spatial correlates of hippocampal unit activity are altered by lesions of the fornix and entorhinal cortex. Brain Res 194: Milner B, Penfield W The effects of hippocampal lesions on recent memory. Trans Am Neurol Assoc 80: Mink W, Best PJ, Olds J Neurons in paradoxical sleep and motivated behavior. Science 158: Mizumori SJY, McNaughton BL, Barnes CA, Fox KB Preserved spatial coding in hippocampal CA1 pyramidal cells during reversible suppression of CA3c output: Evidence for pattern completion in hippocampus. J Neurosci 9: Mountcastle VB Some functional properties of the somatic afferent system. In: Rosenblith WA, ed. Sensory communications. New York: Wiley, Muller RU, Kubie JL The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells. J Neurosci 7: Nadel L, O Keefe J The hippocampus in pieces and patches: An essay on modes of explanation in physiological psychology. In: Bellairs

6 HIPPOCAMPAL PLACE CELL RESEARCH 351 R, Gray EG, eds. Essays on the nervous system. A festschrift for Professor JZ Young. Oxford: Clarendon Press, Nadel L, O Keefe J, Black A Slam on the breaks: A critique of Altman, Bruner and Bayer s response inhibition model of hippocampal function. Behav Biol 14: Noda H, Manohar S, Adey WR Spontaneous activity of cat hippocampal neurons in sleep and wakefulness. Exp Neurol 24: O Keefe J Place units in the hippocampus of the freely moving rat. Exp Neurol 51: O Keefe J, Conway DH Hippocampal place units in the freely moving rat: Why they fire where they fire. Exp Brain Res 31: O Keefe J, Dostrovsky J The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. Brain Res 34: O Keefe J, Nadel L The hippocampus as a cognitive map. Clarendon Press: Oxford. O Keefe J, Speakman A Single unit activity in the rat hippocampus during a spatial memory task. Exp Brain Res 68:1 27. O Keefe J, Nadel L, Keightly S, Kill D Fornix lesions selectively abolish place learning in the rat. Exp Neurol 48: Olds J Operant conditioning of single unit responses. Proc XXIII Int Congress Physiol Sci, Tokyo Olds J, Hirano T Conditioned responses of hippocampal and other neurons. Electroencephal Clin Neurophysiol 26: Olmstead CE, Best PJ, Mays LE Neural activity in the dorsal hippocampus during paradoxical sleep, slow wave sleep and waking. Brain Res 60: Olton DS, Branch M Best PJ. 1978a. Spatial correlates of hippocampal unit activity. Exp Neurol 58: Olton DS, Samuelson RJ Remembrance of places passed: spatial memory in rats. J Exp Psychol: Anim Behav Proc 2: Olton DS, Walker JA, Gage FH. 1978b. Hippocampal connections and spatial discrimination. Brain Res 139: Popper KR The logic of scientific discovery. New York: Basic Books. Quirk GJ, Muller RU, Kubie JL The firing of hippocampal place cells in the dark depends on the rat s recent experience. J Neurosci 10: Ranck JB Jr Studies on single neurons in dorsal hippocampal formation and septum in unrestrained rats. Exp Neurol 41: Rawlins JNP, Lyford GL, Seferiades A, Deacon RMJ, Cassaday HJ Critical determinants of nonspatial working memory deficits in rats with conventional lesions of the hippocampus or fornix. Behav Neurosci 3: Restle F Discrimination of cues in mazes: A resolution of the place-vs-response question. Psychol Rev 64: Seager MA, Borgnis RL, Berry SD Delayed acquisition of behavioral and hippocampal responses during jaw movement conditioning in aging rabbits. Neurobiol Aging 6: Segel M, Disterhoft JF, Olds J Hippocampal unit activity during classical aversive and appetitive conditioning. Science 175: Shapiro ML, Simon DK, Olton DS, Gage FH III, Nilsson OG, Bjorklund A Intrahippocampal grafts of fetal basal forebrain tissue alter place fields in the hippocampus of rats with fimbria-fornix lesions. Neuroscience 32:1 18. Shapiro ML, Tanila H, Eichenbaum H Cues that hippocampal place cells encode: dynamic and hierarchical representation of local distal stimuli. Hippocampus 7: Stumwasser F Long-term recording from single neurons in brain of unrestrained mammals. Science 127: Sutherland RJ, Rudy JW Configural association theory: the role of the hippocampal formation in learning, memory, and amnesia. Psychobiology 17: Thompson LT, Best, PJ Long term stability of hippocampal unit activity recorded from freely behaving rats. Brain Res 509: Tolman EC Cognitive maps in rats and men. Psychol Rev 55: Tolman EC, Ritchie BF, Kalish D Studies in spatial learning. I. Orientation and the short-cut. J Exp Psychol 36: Tulving E, Madigan SA Memory and verbal learning. Annual Rev Psychol 21: Vanderwolf CH Hippocampal electrical activity and voluntary movement in the rat. EEG Clin Neurophysiol 26: Vinagradova O Registration of information and the limbic system. In: Horn G, Hind RA, eds. Short-term changes in neural activity and behavior. Cambridge: Cambridge Univ Press

Limbic system outline

Limbic system outline Limbic system outline 1 Introduction 4 The amygdala and emotion -history - theories of emotion - definition - fear and fear conditioning 2 Review of anatomy 5 The hippocampus - amygdaloid complex - septal

More information

SPATIAL PROCESSING IN THE BRAIN: The Activity of Hippocampal Place Cells

SPATIAL PROCESSING IN THE BRAIN: The Activity of Hippocampal Place Cells Annu. Rev. Neurosci. 2001. 24:459 86 Copyright c 2001 by Annual Reviews. All rights reserved SPATIAL PROCESSING IN THE BRAIN: The Activity of Hippocampal Place Cells Phillip J. Best, 1 Aaron M. White,

More information

ELECTROPHYSIOLOGICAL CORRELATES OF RECOVERY OF FUNCTION

ELECTROPHYSIOLOGICAL CORRELATES OF RECOVERY OF FUNCTION ACTA NEUROBIOL. EXP. 1990, 50: 125-133 Symposium "Recovery from brain damage: behavioral and neurochemical approaches" 4-7 July, 1989, Warsaw, Poland ELECTROPHYSIOLOGICAL CORRELATES OF RECOVERY OF FUNCTION

More information

An Allocentric Spatial Model for the Hippocampal Cognitive Map

An Allocentric Spatial Model for the Hippocampal Cognitive Map YPPOCAMPUS, VOL. 1, NO. 3, PAGES 230-235, JULY 1991 An Allocentric Spatial Model for the Hippocampal Cognitive Map John O Keefe Anatomy and Developmental Biology, University College L o n d o n, Gower

More information

Encoding Spatial Context: A Hypothesis on the Function of the Dentate Gyrus-Hilus System

Encoding Spatial Context: A Hypothesis on the Function of the Dentate Gyrus-Hilus System Encoding Spatial Context: A Hypothesis on the Function of the Dentate Gyrus-Hilus System A. Minai, ECECS Department, University of Cincinnati, Cincinnati, OH J. Best, Department of Psychology, Miami University,

More information

ASSOCIATIVE MEMORY AND HIPPOCAMPAL PLACE CELLS

ASSOCIATIVE MEMORY AND HIPPOCAMPAL PLACE CELLS International Journal of Neural Systems, Vol. 6 (Supp. 1995) 81-86 Proceedings of the Neural Networks: From Biology to High Energy Physics @ World Scientific Publishing Company ASSOCIATIVE MEMORY AND HIPPOCAMPAL

More information

Space and brain: a tabula rasa for the sense of direction. Paul A. Dudchenko

Space and brain: a tabula rasa for the sense of direction. Paul A. Dudchenko Space and brain: a tabula rasa for the sense of direction Paul A. Dudchenko University of Stirling Psychology, School of Natural Sciences Stirling, FK9 4LA United Kingdom Phone: +44 131 650 3531 p.a.dudchenko@stir.ac.uk

More information

Chapter 6: Hippocampal Function In Cognition. From Mechanisms of Memory, second edition By J. David Sweatt, Ph.D.

Chapter 6: Hippocampal Function In Cognition. From Mechanisms of Memory, second edition By J. David Sweatt, Ph.D. Chapter 6: Hippocampal Function In Cognition From Mechanisms of Memory, second edition By J. David Sweatt, Ph.D. Grid Cell The Hippocampus Serves a Role in Multimodal Information Processing and Memory

More information

Informationsverarbeitung im zerebralen Cortex

Informationsverarbeitung im zerebralen Cortex Informationsverarbeitung im zerebralen Cortex Thomas Klausberger Dept. Cognitive Neurobiology, Center for Brain Research, Med. Uni. Vienna The hippocampus is a key brain circuit for certain forms of memory

More information

Place Cells Can Flexibly Terminate and Develop Their Spatial Firing. A New Theory for Their Function

Place Cells Can Flexibly Terminate and Develop Their Spatial Firing. A New Theory for Their Function PII S0031-9384(99)00048-7 Physiology & Behavior, Vol. 67, No. 1, pp. 57 67, 1999 1999 Elsevier Science Inc. Printed in the USA. All rights reserved 0031-9384/99/$ see front matter Place Cells Can Flexibly

More information

Chapter 5: Learning and Behavior Learning How Learning is Studied Ivan Pavlov Edward Thorndike eliciting stimulus emitted

Chapter 5: Learning and Behavior Learning How Learning is Studied Ivan Pavlov Edward Thorndike eliciting stimulus emitted Chapter 5: Learning and Behavior A. Learning-long lasting changes in the environmental guidance of behavior as a result of experience B. Learning emphasizes the fact that individual environments also play

More information

How has Computational Neuroscience been useful? Virginia R. de Sa Department of Cognitive Science UCSD

How has Computational Neuroscience been useful? Virginia R. de Sa Department of Cognitive Science UCSD How has Computational Neuroscience been useful? 1 Virginia R. de Sa Department of Cognitive Science UCSD What is considered Computational Neuroscience? 2 What is considered Computational Neuroscience?

More information

Introduction to Computational Neuroscience

Introduction to Computational Neuroscience Introduction to Computational Neuroscience Lecture 5: Data analysis II 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

More information

The Integration of Features in Visual Awareness : The Binding Problem. By Andrew Laguna, S.J.

The Integration of Features in Visual Awareness : The Binding Problem. By Andrew Laguna, S.J. The Integration of Features in Visual Awareness : The Binding Problem By Andrew Laguna, S.J. Outline I. Introduction II. The Visual System III. What is the Binding Problem? IV. Possible Theoretical Solutions

More information

Hippocampal Place Cells, Context, and Episodic Memory

Hippocampal Place Cells, Context, and Episodic Memory Hippocampal Place Cells, Context, and Episodic Memory David M. Smith* and Sheri J.Y. Mizumori HIPPOCAMPUS 16:000 000 (2006) ABSTRACT: Although most observers agree that the hippocampus has a critical role

More information

Hippocampal Place Cells, Context, and Episodic Memory

Hippocampal Place Cells, Context, and Episodic Memory Hippocampal Place Cells, Context, and Episodic Memory David M. Smith* and Sheri J.Y. Mizumori HIPPOCAMPUS 16:716 729 (2006) ABSTRACT: Although most observers agree that the hippocampus has a critical role

More information

Evoked Potentials from the Dentate Gyrus during Auditory Stimulus Generalization in the Rat 1

Evoked Potentials from the Dentate Gyrus during Auditory Stimulus Generalization in the Rat 1 EXPERIMEN1AL NEUROLOGY 71, 615-624 (1981) Evoked Potentials from the Dentate Gyrus during Auditory Stimulus Generalization in the Rat 1 SAM A. DEADWYLER, MARK O. WEST, AND JOHN H. ROBINSON Department of

More information

Navigation: Inside the Hippocampus

Navigation: Inside the Hippocampus 9.912 Computational Visual Cognition Navigation: Inside the Hippocampus Jakob Voigts 3 Nov 2008 Functions of the Hippocampus: Memory and Space Short term memory Orientation Memory consolidation(h.m)

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

Some Thoughts on Place Cells and the Hippocampus

Some Thoughts on Place Cells and the Hippocampus Some Thoughts on Place Cells and the Hippocampus Jeffrey S. Taube* Department of Psychology, Dartmouth College, Hanover, New Hampshire HIPPOCAMPUS 9:452 457 (1999) ABSTRACT: This commentary addresses five

More information

Distinct Ensemble Codes in Hippocampal Areas CA3 and CA1

Distinct Ensemble Codes in Hippocampal Areas CA3 and CA1 Distinct Ensemble Codes in Hippocampal Areas CA3 and CA1 Stefan Leutgeb, 1 Jill K. Leutgeb, 1 Alessandro Treves, 1,2 May-Britt Moser, 1 Edvard I. Moser 1* 1 Centre for the Biology of Memory, MTFS, Norwegian

More information

Discordance of Spatial Representation in Ensembles of Hippocampal Place Cells

Discordance of Spatial Representation in Ensembles of Hippocampal Place Cells Discordance of Spatial Representation in Ensembles of Hippocampal Place Cells Heikki Tanila, 1 Matthew L. Shapiro, 2 and Howard Eichenbaum 3 * 1 Department of Neuroscience and Neurology, University of

More information

Abstract. Introduction. Keywords: AHP, odour-learning, piriform cortex, pyramidal cells

Abstract. Introduction. Keywords: AHP, odour-learning, piriform cortex, pyramidal cells European Journal of Neuroscience, Vol. 10, pp. 1518 1523, 1998 European Neuroscience Association SHORT COMMUNICATION Reduced after-hyperpolarization in rat piriform cortex pyramidal neurons is associated

More information

Place fields and the cognitive map

Place fields and the cognitive map This is the pre-peer reviewed version of the following article: Place fields and the cognitive map Paul A. Dudchenko 1,2 and Emma R. Wood 2 which has been published at: http://onlinelibrary.wiley.com/doi/10.1002/hipo.22450/full

More information

Learning. Learning: Problems. Chapter 6: Learning

Learning. Learning: Problems. Chapter 6: Learning Chapter 6: Learning 1 Learning 1. In perception we studied that we are responsive to stimuli in the external world. Although some of these stimulus-response associations are innate many are learnt. 2.

More information

1 Introduction Synchronous ring of action potentials amongst multiple neurons is a phenomenon that has been observed in a wide range of neural systems

1 Introduction Synchronous ring of action potentials amongst multiple neurons is a phenomenon that has been observed in a wide range of neural systems Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex A. Roy a, P. N. Steinmetz a 1, K. O. Johnson a, E. Niebur a 2 a Krieger Mind/Brain Institute,

More information

TMS Disruption of Time Encoding in Human Primary Visual Cortex Molly Bryan Beauchamp Lab

TMS Disruption of Time Encoding in Human Primary Visual Cortex Molly Bryan Beauchamp Lab TMS Disruption of Time Encoding in Human Primary Visual Cortex Molly Bryan Beauchamp Lab This report details my summer research project for the REU Theoretical and Computational Neuroscience program as

More information

Electrical recording with micro- and macroelectrodes from the cerebellum of man

Electrical recording with micro- and macroelectrodes from the cerebellum of man Electrical recording with micro- and macroelectrodes from the cerebellum of man D. GRAHAM SLAUGHTER, M.D., BLAINE S. NASHOLD, Jn., M.D., AND GEORGE G. SOMJEN, M.D. The Division of Neurosurgery, and the

More information

Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR

Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR In Physiology Today What the Brain Does The nervous system determines states of consciousness and produces complex behaviors Any given neuron may

More information

EDVARD MOSER AND THE GRID CELLS MICROSTRUCTURE OF A SPATIAL MAP IN THE ENTORHINAL CORTEX

EDVARD MOSER AND THE GRID CELLS MICROSTRUCTURE OF A SPATIAL MAP IN THE ENTORHINAL CORTEX FAMOUS RESEARCHERS EDVARD MOSER AND THE GRID CELLS MICROSTRUCTURE OF A SPATIAL MAP IN THE ENTORHINAL CORTEX Y. TSENKINA EDVARD I. MOSER is a professor of neuroscience and a director of the Norwegian Centre

More information

Psychology 320: Topics in Physiological Psychology Lecture Exam 2: March 19th, 2003

Psychology 320: Topics in Physiological Psychology Lecture Exam 2: March 19th, 2003 Psychology 320: Topics in Physiological Psychology Lecture Exam 2: March 19th, 2003 Name: Student #: BEFORE YOU BEGIN!!! 1) Count the number of pages in your exam. The exam is 8 pages long; if you do not

More information

From Cells to Concepts

From Cells to Concepts EBSCOhost 1 of 4 From Cells to Concepts Review By: Norman M. Weinberger Review of: Memory, Learning, and Higher Function: A Cellular View By: C. D. Woody, New York: Springer-Verlag New York, 1982. 498

More information

Book 3: Lab Procedures Book 3: Ch. 1: The Hypothesis and Overview

Book 3: Lab Procedures Book 3: Ch. 1: The Hypothesis and Overview Book 3: Lab Procedures Book 3: Ch. 1: The Hypothesis and Overview 13 Introduction This experiment will investigate how cocaine acts on dopamine neurons in the brain. Cocaine is a drug of abuse that increases

More information

LEAH KRUBITZER RESEARCH GROUP LAB PUBLICATIONS WHAT WE DO LINKS CONTACTS

LEAH KRUBITZER RESEARCH GROUP LAB PUBLICATIONS WHAT WE DO LINKS CONTACTS LEAH KRUBITZER RESEARCH GROUP LAB PUBLICATIONS WHAT WE DO LINKS CONTACTS WHAT WE DO Present studies and future directions Our laboratory is currently involved in two major areas of research. The first

More information

CSE511 Brain & Memory Modeling Lect 22,24,25: Memory Systems

CSE511 Brain & Memory Modeling Lect 22,24,25: Memory Systems CSE511 Brain & Memory Modeling Lect 22,24,25: Memory Systems Compare Chap 31 of Purves et al., 5e Chap 24 of Bear et al., 3e Larry Wittie Computer Science, StonyBrook University http://www.cs.sunysb.edu/~cse511

More information

Cognitive maps and the hippocampus

Cognitive maps and the hippocampus Physiological Psychology 1980, Vol. 8 (2),168 174 Cognitive maps and the hippocampus PAUL ELLEN Georgia State University, Atlanta, Georgia 30303 This paper reviews a number of behavioral issues raised

More information

Memory: Computation, Genetics, Physiology, and Behavior. James L. McClelland Stanford University

Memory: Computation, Genetics, Physiology, and Behavior. James L. McClelland Stanford University Memory: Computation, Genetics, Physiology, and Behavior James L. McClelland Stanford University A Playwright s Take on Memory What interests me a great deal is the mistiness of the past Harold Pinter,

More information

Effective Intentions: The Power of Conscious Will

Effective Intentions: The Power of Conscious Will Book Review Effective Intentions: The Power of Conscious Will Alfred R. Mele Oxford University Press, Oxford, 2009 Marco Fenici* fenici@unisi.it Mele s book is a concise analysis of much research in neurophysiology

More information

Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR

Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR What the Brain Does The nervous system determines states of consciousness and produces complex behaviors Any given neuron may have as many as 200,000

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

Neuroscience Optional Lecture. The limbic system the emotional brain. Emotion, behaviour, motivation, long-term memory, olfaction

Neuroscience Optional Lecture. The limbic system the emotional brain. Emotion, behaviour, motivation, long-term memory, olfaction Neuroscience Optional Lecture The limbic system the emotional brain Emotion, behaviour, motivation, long-term memory, olfaction Emotion Conscious experience intense mental activity and a certain degree

More information

Analogical Inference

Analogical Inference Analogical Inference An Investigation of the Functioning of the Hippocampus in Relational Learning Using fmri William Gross Anthony Greene Today I am going to talk to you about a new task we designed to

More information

Phil 490: Consciousness and the Self Handout [16] Jesse Prinz: Mental Pointing Phenomenal Knowledge Without Concepts

Phil 490: Consciousness and the Self Handout [16] Jesse Prinz: Mental Pointing Phenomenal Knowledge Without Concepts Phil 490: Consciousness and the Self Handout [16] Jesse Prinz: Mental Pointing Phenomenal Knowledge Without Concepts Main Goals of this Paper: Professor JeeLoo Liu 1. To present an account of phenomenal

More information

Cortical Control of Movement

Cortical Control of Movement Strick Lecture 2 March 24, 2006 Page 1 Cortical Control of Movement Four parts of this lecture: I) Anatomical Framework, II) Physiological Framework, III) Primary Motor Cortex Function and IV) Premotor

More information

Introduction. Chapter The Perceptual Process

Introduction. Chapter The Perceptual Process Chapter 1 Introduction Most of us take for granted our ability to perceive the external world. However, this is no simple deed at all. Imagine being given a task of designing a machine that can perceive,

More information

BIOMED 509. Executive Control UNM SOM. Primate Research Inst. Kyoto,Japan. Cambridge University. JL Brigman

BIOMED 509. Executive Control UNM SOM. Primate Research Inst. Kyoto,Japan. Cambridge University. JL Brigman BIOMED 509 Executive Control Cambridge University Primate Research Inst. Kyoto,Japan UNM SOM JL Brigman 4-7-17 Symptoms and Assays of Cognitive Disorders Symptoms of Cognitive Disorders Learning & Memory

More information

Fear conditioning induces associative long-term potentiation in the amygdala

Fear conditioning induces associative long-term potentiation in the amygdala 11 December 1997 Nature 390, 604-607 (1997) Macmillan Publishers Ltd. Fear conditioning induces associative long-term potentiation in the amygdala MICHAEL T. ROGAN, URSULA V. STÄUBLI & JOSEPH E. LEDOUX

More information

Lateral view of human brain! Cortical processing of touch!

Lateral view of human brain! Cortical processing of touch! Lateral view of human brain! Cortical processing of touch! How do we perceive objects held in the hand?! Touch receptors deconstruct objects to detect local features! Information is transmitted in parallel

More information

A Neural Systems Analysis of Adaptive Navigation

A Neural Systems Analysis of Adaptive Navigation Molecular Neurobiology Copyright 2000 Humana Press Inc. All rights of any nature whatsoever reserved. ISSN0893-7648/98/21(1): 000 000/$0.00 A Neural Systems Analysis of Adaptive Navigation Sheri J. Y.

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

Place Cells and Silent Cells in the Hippocampus Freely-Behaving Rats

Place Cells and Silent Cells in the Hippocampus Freely-Behaving Rats The Journal of Neuroscience, July 1989, g(7): 2382-2390 Place Cells and Silent Cells in the Hippocampus Freely-Behaving Rats of L. T. Thompson sa and P. J. Best2,b Neuroscience Graduate Program and *Department

More information

Complementarity and the Relation Between Psychological and Neurophysiological Phenomena

Complementarity and the Relation Between Psychological and Neurophysiological Phenomena the Relation Between Psychological and Neurophysiological Phenomena Douglas M. Snyder Berkeley, California ABSTRACT In their recent article, Kirsch and Hyland questioned the relation between psychological

More information

Two-Point Threshold Experiment

Two-Point Threshold Experiment Two-Point Threshold Experiment Neuroscience Class Activity Handout An informative experiment adapted by Don Hood, Dave Krantz, Jen Blanck, and Elizabeth Cottrell This activity provides a review of the

More information

Modeling of Hippocampal Behavior

Modeling of Hippocampal Behavior Modeling of Hippocampal Behavior Diana Ponce-Morado, Venmathi Gunasekaran and Varsha Vijayan Abstract The hippocampus is identified as an important structure in the cerebral cortex of mammals for forming

More information

ZNZ Advanced Course in Neuroscience Mon Limbic System II. David P. Wolfer MD

ZNZ Advanced Course in Neuroscience Mon Limbic System II. David P. Wolfer MD ZNZ Advanced Course in Neuroscience Mon 05.05.2014 Limbic System II David P. Wolfer MD Institute of Anatomy, University of Zurich Institute for Human Movement Sciences and Sport, ETH Zurich http://www.dpwolfer.ch

More information

Learning = an enduring change in behavior, resulting from experience.

Learning = an enduring change in behavior, resulting from experience. Chapter 6: Learning Learning = an enduring change in behavior, resulting from experience. Conditioning = a process in which environmental stimuli and behavioral processes become connected Two types of

More information

Restoring Communication and Mobility

Restoring Communication and Mobility Restoring Communication and Mobility What are they? Artificial devices connected to the body that substitute, restore or supplement a sensory, cognitive, or motive function of the nervous system that has

More information

Early Stages of Vision Might Explain Data to Information Transformation

Early Stages of Vision Might Explain Data to Information Transformation Early Stages of Vision Might Explain Data to Information Transformation Baran Çürüklü Department of Computer Science and Engineering Mälardalen University Västerås S-721 23, Sweden Abstract. In this paper

More information

NST II Psychology NST II Neuroscience (Module 5)

NST II Psychology NST II Neuroscience (Module 5) NST II Psychology NST II Neuroscience (Module 5) Brain Mechanisms of Memory and Cognition 4 Forms of memory. Neural basis of memory (1): amnesia, the hippocampus Rudolf Cardinal Department of Experimental

More information

Behavioral Neuroscience: Fear thou not. Rony Paz

Behavioral Neuroscience: Fear thou not. Rony Paz Behavioral Neuroscience: Fear thou not Rony Paz Rony.paz@weizmann.ac.il Thoughts What is a reward? Learning is best motivated by threats to survival? Threats are much better reinforcers? Fear is a prime

More information

Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex

Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex Neurocomputing 32}33 (2000) 1103}1108 Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex A. Roy, P.N. Steinmetz, K.O. Johnson, E. Niebur* Krieger

More information

Theoretical Neuroscience: The Binding Problem Jan Scholz, , University of Osnabrück

Theoretical Neuroscience: The Binding Problem Jan Scholz, , University of Osnabrück The Binding Problem This lecture is based on following articles: Adina L. Roskies: The Binding Problem; Neuron 1999 24: 7 Charles M. Gray: The Temporal Correlation Hypothesis of Visual Feature Integration:

More information

Mnemonic Contributions of Hippocampal Place Cells

Mnemonic Contributions of Hippocampal Place Cells CHAPTER 5 Mnemonic Contributions of Hippocampal Place Cells Sherri J. Y. Mizumori, D. M. Smith, and C. B. Puryear Department of Psychology, University of Washington, Seattle, WA 98195 I. INTRODUCTION The

More information

Systems Neuroscience November 29, Memory

Systems Neuroscience November 29, Memory Systems Neuroscience November 29, 2016 Memory Gabriela Michel http: www.ini.unizh.ch/~kiper/system_neurosci.html Forms of memory Different types of learning & memory rely on different brain structures

More information

Introduction to Systems Neuroscience. Nov. 28, The limbic system. Daniel C. Kiper

Introduction to Systems Neuroscience. Nov. 28, The limbic system. Daniel C. Kiper Introduction to Systems Neuroscience Nov. 28, 2017 The limbic system Daniel C. Kiper kiper@ini.phys.ethz.ch http: www.ini.unizh.ch/~kiper/system_neurosci.html LIMBIC SYSTEM The term limbic system mean

More information

SOMATIC SENSATION PART I: ALS ANTEROLATERAL SYSTEM (or SPINOTHALAMIC SYSTEM) FOR PAIN AND TEMPERATURE

SOMATIC SENSATION PART I: ALS ANTEROLATERAL SYSTEM (or SPINOTHALAMIC SYSTEM) FOR PAIN AND TEMPERATURE Dental Neuroanatomy Thursday, February 3, 2011 Suzanne S. Stensaas, PhD SOMATIC SENSATION PART I: ALS ANTEROLATERAL SYSTEM (or SPINOTHALAMIC SYSTEM) FOR PAIN AND TEMPERATURE Reading: Waxman 26 th ed, :

More information

Cognitive Neuroscience History of Neural Networks in Artificial Intelligence The concept of neural network in artificial intelligence

Cognitive Neuroscience History of Neural Networks in Artificial Intelligence The concept of neural network in artificial intelligence Cognitive Neuroscience History of Neural Networks in Artificial Intelligence The concept of neural network in artificial intelligence To understand the network paradigm also requires examining the history

More information

Brain-computer interface to transform cortical activity to control signals for prosthetic arm

Brain-computer interface to transform cortical activity to control signals for prosthetic arm Brain-computer interface to transform cortical activity to control signals for prosthetic arm Artificial neural network Spinal cord challenge: getting appropriate control signals from cortical neurons

More information

Hippocampal and Neocortical Interactions During Context Discrimination: Electrophysiological Evidence From the Rat

Hippocampal and Neocortical Interactions During Context Discrimination: Electrophysiological Evidence From the Rat Hippocampal and Neocortical Interactions During Context Discrimination: Electrophysiological Evidence From the Rat Sheri J.Y. Mizumori, 1 * David M. Smith, 2 and Corey B. Puryear 1 HIPPOCAMPUS 17:851 862

More information

Anatomy of the Hippocampus

Anatomy of the Hippocampus Anatomy of the Hippocampus Lecture 3.2 David S. Touretzky September, 2015 Human Hippocampus 2 Human Hippocampus 3 Hippocampus Means Seahorse Dissected human hippocampus next to a specimen of hippocampus

More information

The Neurophysiology of Memory

The Neurophysiology of Memory The Neurophysiology of Memory WENDY A. SUZUKI a,c AND HOWARD EICHENBAUM b a Center for Neural Science, New York University, 4 Washington Place, Room 809, New York, New York 10003, USA b Laboratory of Cognitive

More information

Photoreceptors Rods. Cones

Photoreceptors Rods. Cones Photoreceptors Rods Cones 120 000 000 Dim light Prefer wavelength of 505 nm Monochromatic Mainly in periphery of the eye 6 000 000 More light Different spectral sensitivities!long-wave receptors (558 nm)

More information

nucleus accumbens septi hier-259 Nucleus+Accumbens birnlex_727

nucleus accumbens septi hier-259 Nucleus+Accumbens birnlex_727 Nucleus accumbens From Wikipedia, the free encyclopedia Brain: Nucleus accumbens Nucleus accumbens visible in red. Latin NeuroNames MeSH NeuroLex ID nucleus accumbens septi hier-259 Nucleus+Accumbens birnlex_727

More information

brain valuation & behavior

brain valuation & behavior brain valuation & behavior 9 Rangel, A, et al. (2008) Nature Neuroscience Reviews Vol 9 Stages in decision making process Problem is represented in the brain Brain evaluates the options Action is selected

More information

Time Experiencing by Robotic Agents

Time Experiencing by Robotic Agents Time Experiencing by Robotic Agents Michail Maniadakis 1 and Marc Wittmann 2 and Panos Trahanias 1 1- Foundation for Research and Technology - Hellas, ICS, Greece 2- Institute for Frontier Areas of Psychology

More information

Spatial View Cells and the Representation of Place in the Primate Hippocampus

Spatial View Cells and the Representation of Place in the Primate Hippocampus Spatial View Cells and the Representation of Place in the Primate Hippocampus Edmund T. Rolls* Department of Experimental Psychology, University of Oxford, Oxford, England HIPPOCAMPUS 9:467 480 (1999)

More information

Hippocampal Lesions Disrupt an Associative Mismatch Process

Hippocampal Lesions Disrupt an Associative Mismatch Process The Journal of Neuroscience, March 15, 1998, 18(6):2226 2230 Hippocampal Lesions Disrupt an Associative Mismatch Process R. C. Honey, A. Watt, and M. Good School of Psychology, University of Wales, Cardiff

More information

Modules 7. Consciousness and Attention. sleep/hypnosis 1

Modules 7. Consciousness and Attention. sleep/hypnosis 1 Modules 7 Consciousness and Attention sleep/hypnosis 1 Consciousness Our awareness of ourselves and our environments. sleep/hypnosis 2 Dual Processing Our perceptual neural pathways have two routes. The

More information

Cognitive Neuroscience of Memory

Cognitive Neuroscience of Memory Cognitive Neuroscience of Memory Types and Structure of Memory Types of Memory Type of Memory Time Course Capacity Conscious Awareness Mechanism of Loss Sensory Short-Term and Working Long-Term Nondeclarative

More information

Neurophysiology of systems

Neurophysiology of systems Neurophysiology of systems Motor cortex (voluntary movements) Dana Cohen, Room 410, tel: 7138 danacoh@gmail.com Voluntary movements vs. reflexes Same stimulus yields a different movement depending on context

More information

Chapter 5 The Research Methods of Biopsychology

Chapter 5 The Research Methods of Biopsychology Chapter 5 The Research Methods of Biopsychology Understanding What Biopsychologists Do This multimedia product and its contents are protected under copyright law. The following are prohibited by law: any

More information

The concept of neural network in neuropsychology

The concept of neural network in neuropsychology Cognitive Neuroscience History of Neural Networks in Neuropsychology The concept of neural network in neuropsychology Neuroscience has been very successful at explaining the neural basis of low-level sensory

More information

Behavioral Neuroscience: Fear thou not. Rony Paz

Behavioral Neuroscience: Fear thou not. Rony Paz Behavioral Neuroscience: Fear thou not Rony Paz Rony.paz@weizmann.ac.il Thoughts What is a reward? Learning is best motivated by threats to survival Threats are much better reinforcers Fear is a prime

More information

Variety of muscle responses to tactile stimuli

Variety of muscle responses to tactile stimuli Variety of muscle responses to tactile stimuli Julita Czarkowska-Bauch Department of Neurophysiology, Nencki Institute of Experimental Biology, 3 Pasteur St., 02-093 Warsaw, Poland Abstract. Influences

More information

Taken From The Brain Top to Bottom //

Taken From The Brain Top to Bottom // Taken From The Brain Top to Bottom // http://thebrain.mcgill.ca/flash/d/d_03/d_03_cl/d_03_cl_que/d_03_cl_que.html THE EVOLUTIONARY LAYERS OF THE HUMAN BRAIN The first time you observe the anatomy of the

More information

Why is dispersion of memory important*

Why is dispersion of memory important* What is memory* It is a web of connections Research has shown that people who lose their memory also lose the ability to connect things to each other in their mind It is these connections that let us understand

More information

Cognitive Modelling Themes in Neural Computation. Tom Hartley

Cognitive Modelling Themes in Neural Computation. Tom Hartley Cognitive Modelling Themes in Neural Computation Tom Hartley t.hartley@psychology.york.ac.uk Typical Model Neuron x i w ij x j =f(σw ij x j ) w jk x k McCulloch & Pitts (1943), Rosenblatt (1957) Net input:

More information

Precise Spike Timing and Reliability in Neural Encoding of Low-Level Sensory Stimuli and Sequences

Precise Spike Timing and Reliability in Neural Encoding of Low-Level Sensory Stimuli and Sequences Precise Spike Timing and Reliability in Neural Encoding of Low-Level Sensory Stimuli and Sequences Temporal Structure In the World Representation in the Brain Project 1.1.2 Feldman and Harris Labs Temporal

More information

PHGY 210,2,4 - Physiology SENSORY PHYSIOLOGY. Martin Paré

PHGY 210,2,4 - Physiology SENSORY PHYSIOLOGY. Martin Paré PHGY 210,2,4 - Physiology SENSORY PHYSIOLOGY Martin Paré Associate Professor of Physiology & Psychology pare@biomed.queensu.ca http://brain.phgy.queensu.ca/pare PHGY 210,2,4 - Physiology SENSORY PHYSIOLOGY

More information

Prior Knowledge and Memory Consolidation Expanding Competitive Trace Theory

Prior Knowledge and Memory Consolidation Expanding Competitive Trace Theory Prior Knowledge and Memory Consolidation Expanding Competitive Trace Theory Anna Smith Outline 1. 2. 3. 4. 5. Background in Memory Models Models of Consolidation The Hippocampus Competitive Trace Theory

More information

Spectrograms (revisited)

Spectrograms (revisited) Spectrograms (revisited) We begin the lecture by reviewing the units of spectrograms, which I had only glossed over when I covered spectrograms at the end of lecture 19. We then relate the blocks of a

More information

Mechanosensation. Central Representation of Touch. Wilder Penfield. Somatotopic Organization

Mechanosensation. Central Representation of Touch. Wilder Penfield. Somatotopic Organization Mechanosensation Central Representation of Touch Touch and tactile exploration Vibration and pressure sensations; important for clinical testing Limb position sense John H. Martin, Ph.D. Center for Neurobiology

More information

CONSCIOUSNESS. Phil/Psych 256. Chris Eliasmith

CONSCIOUSNESS. Phil/Psych 256. Chris Eliasmith CONSCIOUSNESS Phil/Psych 256 Chris Eliasmith The C Word One main difficulty with consciousness is defining what we are talking about: Do we mean awareness (e.g., awake vs. asleep)? Qualia (what-it-is-like)?

More information

Multiscale Evidence of Multiscale Brain Communication

Multiscale Evidence of Multiscale Brain Communication Multiscale Evidence of Multiscale Brain Communication Scott Makeig Swartz Center for Computational Neuroscience Institute for Neural Computation University of California San Diego La Jolla CA Talk given

More information

PEER REVIEW FILE. Reviewers' Comments: Reviewer #1 (Remarks to the Author)

PEER REVIEW FILE. Reviewers' Comments: Reviewer #1 (Remarks to the Author) PEER REVIEW FILE Reviewers' Comments: Reviewer #1 (Remarks to the Author) Movement-related theta rhythm in the hippocampus is a robust and dominant feature of the local field potential of experimental

More information

COGNITIVE SCIENCE 107A. Hippocampus. Jaime A. Pineda, Ph.D.

COGNITIVE SCIENCE 107A. Hippocampus. Jaime A. Pineda, Ph.D. COGNITIVE SCIENCE 107A Hippocampus Jaime A. Pineda, Ph.D. Common (Distributed) Model of Memory Processes Time Course of Memory Processes Long Term Memory DECLARATIVE NON-DECLARATIVE Semantic Episodic Skills

More information

Beta Oscillations and Hippocampal Place Cell Learning during Exploration of Novel Environments Stephen Grossberg 1

Beta Oscillations and Hippocampal Place Cell Learning during Exploration of Novel Environments Stephen Grossberg 1 Beta Oscillations and Hippocampal Place Cell Learning during Exploration of Novel Environments Stephen Grossberg 1 1 Department of Cognitive and Neural Systems Center for Adaptive Systems, and Center of

More information

SOMATOSENSORY SYSTEMS

SOMATOSENSORY SYSTEMS SOMATOSENSORY SYSTEMS Schematic diagram illustrating the neural pathways that convey somatosensory information to the cortex and, subsequently, to the motor system. Double arrows show reciprocal connections.

More information

Memory. Psychology 3910 Guest Lecture by Steve Smith

Memory. Psychology 3910 Guest Lecture by Steve Smith Memory Psychology 3910 Guest Lecture by Steve Smith Note: Due to copyright restrictions, I had to remove the images from the Weschler Memory Scales from the slides I posted online. Wechsler Memory Scales

More information

Arch. Neurol.& Psychiatry, 1940, 43,

Arch. Neurol.& Psychiatry, 1940, 43, 1 Arch. Neurol.& Psychiatry, 1940, 43, 421-438 2 3 4 5 6 George Humphrey (1889-1966) BA, Oxford (1912) University of Leipzig with Wilhelm Wundt Taught classics at St. Francis Xavier University - in Nova

More information