Supplementary Information

Size: px
Start display at page:

Download "Supplementary Information"

Transcription

1 Hyperpolarization-activated cation channels inhibit EPSPs by interactions with M-type K + channels Meena S. George, L.F. Abbott, Steven A. Siegelbaum Supplementary Information Part 1: Supplementary Figures 1-5 Part 2: Supplementary Methods

2 Supplementary Figure 1 a Vpeak (mv) Eh V 1/2 = 90 mv V 1/2 = 80 mv V 1/2 = 70 mv b Synaptic strength g syn (µs) Vpeak (mv) Synaptic strength g syn (µs) Supplementary Figure 1. Relation between V pea k and synaptic strength when I h properties were altered in simple model where I h was the only voltage-gated conductance. (a) Depolarizing shifts in the mid-point voltage of activation (V 1/2 ) of I h resulted in a depolarizing effect on V peak. (b) When the RMP was held fixed at 70 mv by adjusting the passive leak reversal potential, increases in I h had a solely inhibitory effect on V peak.

3 Supplementary Figure 2 a) = 0 V m (mv) b) c) V m (mv) Time (ms) = Time (ms) = V m (mv) Time (ms)

4 Supplementary Figure 2. The effects of Ih on temporal summation during a burst of EPSPs. Membrane voltage response to five synaptic stimuli delivered at 100 Hz in the absence of Ih (black) and in the presence of a fixed level of Ih (blue; = 0.01 S cm-2). (a) Responses in the absence of M-current ( g syn = µs). Note depolarizing effect of Ih. (b) Responses in the presence of M-current for a weak synaptic input ( g syn = of M-current for a µs). Note depolarizing effect of Ih. (c) Responses in the presence strong synaptic input ( g syn = 0.01 µs). Note inhibitory effect of Ih for EPSPs early in burst. In all panels: M-current V1/ 2 = 35 mv; M-current maximal conductance = S cm. In these models, the synaptic time constant (τsyn ) was slowed to 10 ms.

5 Supplementary Figure 3 a) 0 10 = b) Vpeak (mv) Vpeak (mv) = c) 45 = Vpeak (mv) Synaptic strength of each input g syn (µs)

6 Supplementary Figure 3. Effects of Ih on peak voltage during a burst of EPSPs in the absence and presence of M-current. Plots of peak voltage during a burst of five EPSPs elicited at 100 Hz as a function of synaptic strength for differing levels of Ih in the absence (a) or presence of two different levels of M-current maximal conductance (b and c). τsyn = 10 ms. M-current V1/ 2 = 35 mv.

7 Supplementary Figure 4 a RMP (mv) (S cm 2 ) b 60 V EPSP (mv) c Synaptic strength g syn (µs) Vpeak (mv) Synaptic strength g syn (µs)

8 Supplementary Figure 4. Ih exerted a purely inhibitory effect on VEPSP and on Vpe ak when RMP was held constant in model also containing a voltage-gated Hodgkin-Huxley K+ conductance. (a) Increasing Ih (V1/ 2 = 90 mv) in the presence of delayed rectifier K+ conductance depolarized the RMP. (b) Increasing Ih diminished the EPSP amplitude ( VEPSP = V pe ak RMP) for all synaptic strengths. Relation of VEPSP and synaptic strength plotted for four different levels of (S cm-2). V1/2 = 90 mv. (c) When the RMP was held fixed at 70 mv by adjusting the passive leak reversal potential, Ih exerted a purely inhibitory effect on Vpeak.

9 Supplementary Figure 5 50 I h somato-dendritic gradient Proximal excitatory input (250 µm) 20 µm Somatic response gradient (a) (b) (c) 20 µm Soma no 1000 µm 250 µm proximal No in soma or dendrite Uniform level of in soma and dendrite Only somatic No in dendrite Electrodes Local response gradient no 1.5 µm a Vpeak (mv) b Vpeak (mv) c Vpeak (mv) = 0 (S cm 2 ) = (S cm 2 ) = (S cm 2 ) Synaptic strength g syn (µs)

10 Supplementary Figure 5. Effects of Ih on V pe ak in a multicompartment neuronal model without or with M-type K+ channels. Multicompartment neuronal model with a 50-fold increasing linear dendritic gradient of Ih, a passive leak conductance, and a dendritic excitatory synaptic input located 250 µm from the soma. Effects of Ih on Vpeak shown in the presence of the Ih gradient (red) or in the absence of Ih (black). Dashed lines depict Vpe ak at the dendritic site of synaptic input and solid lines depict Vpe ak at the soma. V1/ 2 = 90 mv for Ih and 35 mv for M-conductance. (a) In the absence of Mconductance, Ih was excitatory for all synaptic input strengths for Vpe ak, both in the dendrite and soma. (b) With a uniform level of maximal M-conductance ( S cm-2) in the soma and dendrite, Ih produced inhibitory effects on Vpe ak at the dendrite and soma. (c) With M-conductance only present at the soma ( S cm-2 ), Ih produced inhibitory effects on Vpeak at the soma (solid lines) but only excitatory effects at the dendritic site of synaptic input (dashed lines).

11 Supplementary Methods Tissue Preparation Horizontal brain slices were prepared from P28 P40 mice. Mice were rapidly decapitated following spinal dislocation. Their brains were rapidly removed and placed in cold (2 C 3 C) modified ACSF containing (in mm): NaCl (10), NaH 2 PO 4 (1.25), KCl (2.5), NaHCO 3 (25), glucose (25), CaCl 2 (0.5), MgCl 2 (7), sucrose (190), and Na-pyruvate (2), continuously bubbled with 95%/5% O 2 /CO 2. The hemisected brain was submerged in cold ACSF and cut into 300 µm sections with a Vibratome Slices were transferred to standard ACSF at 35 C for min and then stored at room temperature (21 C 22 C). Experiments were performed hr after slice preparation. Electrophysiology Recordings and Solutions The standard ACSF had the following composition (mm): NaCl (125), NaH 2 PO 4 (1.25), KCl (2.5), NaHCO 3 (25), glucose (25), CaCl 2 (2), and MgCl 2 (1). In all experiments, inhibitory transmission was blocked by the GABA A and GABA B receptor antagonists gabazine (2 µm) and CGP (1 µm), respectively. Whole-cell recordings were obtained from hippocampal CA1 pyramidal cells in submerged slices at 31 C 33 C. Patch pipettes (2.5 5 MΩ) were filled with intracellular solution containing (mm): KMeSO 4 KCH 3 SO 4 (130), KCl (10), HEPES (10), NaCl (4), MgATP (4), Na 2 GTP (0.3), phosphocreatine (10), and EGTA (0.5). Series resistance was less than 40 MΩ and capacitance was fully compensated throughout the experiment. Focal stimulating electrodes (patch pipettes coated with AgCl paint and filled with 1 M NaCl) were used to

12 apply single, unipolar shocks of ms in duration with a constant current stimulator. For graded stimulation, shock amplitude was adjusted to evoke a response in control conditions and then incremented until spike threshold was reached. These same shock amplitudes were reapplied after addition of ZD7288 and in the same order. Stimuli were separated by 15 seconds. All drugs were obtained from Tocris-Cookson and used at the following concentrations (µm): gabazine (2), CGP (1), ZD7288 (10 µm), and XE991 (10 µm). Electrophysiological Data Acquisition and Analysis Recordings were obtained using a two-channel Multiclamp 700B amplifier (Molecular Devices, Sunnyvale, CA). Data were digitized on a Windows PC using an ITC-18 A/D board (Instrutech Instruments, Port Washington, NY) controlled by custom routines written in Igor Pro (Wavemetrics, Eugene, OR). All current-clamp data were acquired at 20 khz and low-pass filtered at 4 khz using the Multiclamp 700B Bessel filter. Analysis was performed using custom routines written in Igor Pro. Statistical tests were performed using Excel (Microsoft, Redmond, WA) and Igor Pro. Hyperpolarizing current injections were used to measure the sag. The sag ratio was measured as (1 ΔV ss /ΔV min ) x 100%, where ΔV ss is the steady-state hyperpolarization (relative to resting potential) at the end of the hyperpolarizing pulse and ΔV min is the peak hyperpolarization near the beginning of the current step. The amplitude of the current step was adjusted so that a constant value of V min (between 90 and 95 mv) was

13 achieved, to assure uniform activation of I h during the hyperpolarization in different cells and under different conditions. Input resistance was determined by injecting a small hyperpolarizing current step of 50 pa for 500 ms from the resting potential and dividing the change in steady-state voltage (ΔV ss ) by the injected current. Computational Modeling A single compartment model (SCM) was implemented and run in NEURON 50 (version 5.9; available at The compartment for the NEURON models had a diameter of 20 µm and a length of 20 µm. The membrane capacitance was set to 1 µf/cm 2. The temperature was set to 33 C. All models contained passive leak conductance, I h -conductance, and a synaptic input. The passive leak had a conductance of 0.3 ms cm -2 and a reversal potential of 70 mv (results were qualitatively similar for a leak reversal potential of 80 mv). The I h -conductance reversal potential was fixed to 30 mv but the maximal conductance was varied as was the V 1/2. The I h - conductance model was taken from previously published models based on experimental data 10, 17. The synaptic input was modeled as an alpha function using the AlphaSyapse feature in NEURON (τ = 1 ms and reversal potential of 0 mv; similar results were obtained with τ = 3 ms) to mimic excitatory synaptic input. Five models were studied containing different K + conductances or altered K + conductance properties. Model 1 contained only a passive leak and I h. Model 2 also included the Hodgkin-Huxley delayed-rectifier K + conductance 35, 37 (K dr ). Model 3 had

14 the same components as model 2 but with the K dr conductance fixed to its steady-state value at the RMP for the duration of each simulation; this created an infinitely slow K dr (τ Kdr = ). Model 4 also had the same components as model 2 but the K dr conductance reached its steady-state voltage-dependent value without any delay throughout the simulation (τ Kdr = 0); this effectively creates an instantaneous voltage-dependent leak conductance. Model 5 contained a passive leak, I h, and M-type K + conductance. The maximal M-conductance and V 1/2 were varied. The M-conductance model was derived from previously published models 42, 43. The temperature-dependence of the M- conductance model was removed to improve consistency with recent studies 40. The original model used a temperature of 23 C, but the time constant (τ M ) at this temperature was already faster than the kinetics at a temperature near 33 C (the temperature used in our models) indicated by those studies 40. A dimensionless (point process) singlecompartment model using the same conductance parameters was created in C++ and confirmed the results from the NEURON models. Models 1 and 5 were used to study temporal summation. In these models, 5 synaptic conductances (τ = 1 ms and reversal potential of 0 mv) were activated at a frequency of 100 Hz. Each synapse had the same synaptic conductance, which was varied. In addition, the synaptic time constants were also slowed (τ = 10 ms) to assess increased temporal summation, defined as the ratio of the amplitudes of the fifth EPSP to the first EPSP (ΔV EPSP5 / ΔV EPSP1 ). Various synaptic frequencies were also assessed.

15 Multicompartment models were also implemented and run in NEURON 50 (version 5.9). The soma had the same dimensions as in the SCM. A dendritic cable was added to the soma of length 1000 µm and diameter 1.5 µm. The dendrite was divided into 10 segments. An axial resistance of 150 Ω cm and dendritic membrane capacitance of 1 µf/cm 2 were used. The parameters for the passive leak were the same as used in the SCM. The maximal I h -conductance at the soma was set to S cm -2 and a 50-fold increasing linear dendritic gradient of maximal I h -conductance extended to the distal end of the dendrite. The V 1/2 of I h was set to 90 mv. An excitatory synaptic input modeled as an alpha function with the same parameters as in the SCM was placed 250 µm away from the soma, mimicking a proximal input. At that dendritic distance, the maximal I h - conductance was 12.5 that of the soma. Any M-conductance placed in the dendrite was maintained at a uniform level of maximal conductance throughout the dendrite. Three models were created in total: (1) with no M-conductance in any compartment, (2) with only somatic M-conductance, and (3) with a uniform level of somatic and dendritic M- conductance. The M-conductance V 1/2 was set to 35 mv. The maximal M-conductance level was varied and results were qualitatively similar for different levels.

Is action potential threshold lowest in the axon?

Is action potential threshold lowest in the axon? Supplementary information to: Is action potential threshold lowest in the axon? Maarten H. P. Kole & Greg J. Stuart Supplementary Fig. 1 Analysis of action potential (AP) threshold criteria. (a) Example

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

Supporting Online Material for

Supporting Online Material for www.sciencemag.org/cgi/content/full/317/5841/183/dc1 Supporting Online Material for Astrocytes Potentiate Transmitter Release at Single Hippocampal Synapses Gertrudis Perea and Alfonso Araque* *To whom

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

Dendritic Mechanisms of Phase Precession in Hippocampal CA1 Pyramidal Neurons

Dendritic Mechanisms of Phase Precession in Hippocampal CA1 Pyramidal Neurons RAPID COMMUNICATION Dendritic Mechanisms of Phase Precession in Hippocampal CA1 Pyramidal Neurons JEFFREY C. MAGEE Neuroscience Center, Louisiana State University Medical Center, New Orleans, Louisiana

More information

Neurons of the Bed Nucleus of the Stria Terminalis (BNST)

Neurons of the Bed Nucleus of the Stria Terminalis (BNST) Neurons of the Bed Nucleus of the Stria Terminalis (BNST) Electrophysiological Properties and Their Response to Serotonin DONALD G. RAINNIE a Harvard Medical School and Department of Psychiatry, Brockton

More information

Arnaud Ruiz, Emilie Campanac, Ricardo Scott, Dmitri A. Rusakov, Dimitri M. Kullmann

Arnaud Ruiz, Emilie Campanac, Ricardo Scott, Dmitri A. Rusakov, Dimitri M. Kullmann Presynaptic GABA A receptors enhance transmission and LTP induction at hippocampal mossy fiber synapses Arnaud Ruiz, Emilie Campanac, Ricardo Scott, Dmitri A. Rusakov, Dimitri M. Kullmann Supplementary

More information

Ivy/Neurogliaform Interneurons Coordinate Activity in the Neurogenic Niche

Ivy/Neurogliaform Interneurons Coordinate Activity in the Neurogenic Niche Ivy/Neurogliaform Interneurons Coordinate Activity in the Neurogenic Niche Sean J. Markwardt, Cristina V. Dieni, Jacques I. Wadiche & Linda Overstreet-Wadiche Supplementary Methods. Animals We used hemizygous

More information

Supporting Online Material for

Supporting Online Material for www.sciencemag.org/cgi/content/full/312/5779/1533/dc1 Supporting Online Material for Long-Term Potentiation of Neuron-Glia Synapses Mediated by Ca 2+ - Permeable AMPA Receptors Woo-Ping Ge, Xiu-Juan Yang,

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

CELLULAR NEUROPHYSIOLOGY

CELLULAR NEUROPHYSIOLOGY CELLULAR NEUROPHYSIOLOGY CONSTANCE HAMMOND 6. SYNAPTIC INTEGRATION Video 6-1: Compound PSP, PSP propagation and summation Compound postsynaptic potential 2 whole-cell configuration current-clamp mode somatic

More information

Frequency (khz) Intensity (db SPL) Frequency (khz)

Frequency (khz) Intensity (db SPL) Frequency (khz) a Before After No. of spikes b No. of spikes 6 4 8 6 4 5 5 Time (ms) 5 5 Time (ms) Intensity (db SPL) Intensity (db SPL) 7 5 3 7 5 3 4 6 64 Frequency (khz) 4 6 64 Frequency (khz) Spike no. Spike no. 8

More information

Problem Set 3 - Answers. -70mV TBOA

Problem Set 3 - Answers. -70mV TBOA Harvard-MIT Division of Health Sciences and Technology HST.131: Introduction to Neuroscience Course Director: Dr. David Corey HST 131/ Neuro 200 18 September 05 Explanation in text below graphs. Problem

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

Short- and long-lasting consequences of in vivo nicotine treatment

Short- and long-lasting consequences of in vivo nicotine treatment Short- and long-lasting consequences of in vivo nicotine treatment on hippocampal excitability Rachel E. Penton, Michael W. Quick, Robin A. J. Lester Supplementary Figure 1. Histogram showing the maximal

More information

The Journal of Physiology

The Journal of Physiology J Physiol 595.13 (217) pp 4431 4448 4431 Increased transient Na + conductance and action potential output in layer 2/3 prefrontal cortex neurons of the fmr1 /y mouse Brandy N. Routh, Rahul K. Rathour,

More information

Human TRPC6 Ion Channel Cell Line

Human TRPC6 Ion Channel Cell Line TECHNICAL DATA SHEET ValiScreen Ion Channel Cell Line Caution: For Laboratory Use. A research product for research purposes only Human TRPC6 Ion Channel Cell Line Product No.: AX-012-C Lot No.: 512-548-A

More information

BIONB/BME/ECE 4910 Neuronal Simulation Assignments 1, Spring 2013

BIONB/BME/ECE 4910 Neuronal Simulation Assignments 1, Spring 2013 BIONB/BME/ECE 4910 Neuronal Simulation Assignments 1, Spring 2013 Tutorial Assignment Page Due Date Week 1/Assignment 1: Introduction to NIA 1 January 28 The Membrane Tutorial 9 Week 2/Assignment 2: Passive

More information

Learning Rules for Spike Timing-Dependent Plasticity Depend on Dendritic Synapse Location

Learning Rules for Spike Timing-Dependent Plasticity Depend on Dendritic Synapse Location 10420 The Journal of Neuroscience, October 11, 2006 26(41):10420 10429 Cellular/Molecular Learning Rules for Spike Timing-Dependent Plasticity Depend on Dendritic Synapse Location Johannes J. Letzkus,

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

Chapter 6 subtitles postsynaptic integration

Chapter 6 subtitles postsynaptic integration CELLULAR NEUROPHYSIOLOGY CONSTANCE HAMMOND Chapter 6 subtitles postsynaptic integration INTRODUCTION (1:56) This sixth and final chapter deals with the summation of presynaptic currents. Glutamate and

More information

Neurobiology: The nerve cell. Principle and task To use a nerve function model to study the following aspects of a nerve cell:

Neurobiology: The nerve cell. Principle and task To use a nerve function model to study the following aspects of a nerve cell: Principle and task To use a nerve function model to study the following aspects of a nerve cell: INTRACELLULAR POTENTIAL AND ACTION POTENTIAL Comparison between low and high threshold levels Comparison

More information

Simulation of myelinated neuron with focus on conduction speed and changeable excitability

Simulation of myelinated neuron with focus on conduction speed and changeable excitability Simulation of myelinated neuron with focus on conduction speed and changeable excitability Pengfei Chen Sung Min Kim Abstract In this paper we focus on the two particular properties of myelinated neuron,

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

Astrocyte signaling controls spike timing-dependent depression at neocortical synapses

Astrocyte signaling controls spike timing-dependent depression at neocortical synapses Supplementary Information Astrocyte signaling controls spike timing-dependent depression at neocortical synapses Rogier Min and Thomas Nevian Department of Physiology, University of Berne, Bern, Switzerland

More information

Basics of Computational Neuroscience: Neurons and Synapses to Networks

Basics of Computational Neuroscience: Neurons and Synapses to Networks Basics of Computational Neuroscience: Neurons and Synapses to Networks Bruce Graham Mathematics School of Natural Sciences University of Stirling Scotland, U.K. Useful Book Authors: David Sterratt, Bruce

More information

DOI: /jphysiol The Physiological Society Rapid Report

DOI: /jphysiol The Physiological Society Rapid Report Journal of Physiology (2002), 541.3, pp. 665 672 DOI: 10.1113/jphysiol.2002.020503 The Physiological Society 2002 www.jphysiol.org Rapid Report Phosphorylation-dependent differences in the activation properties

More information

Supplementary Figure 1. Basic properties of compound EPSPs at

Supplementary Figure 1. Basic properties of compound EPSPs at Supplementary Figure 1. Basic properties of compound EPSPs at hippocampal CA3 CA3 cell synapses. (a) EPSPs were evoked by extracellular stimulation of the recurrent collaterals and pharmacologically isolated

More information

Consequences of sequences: Studies on convergent and divergent elements of neocortical inhibitory microcircuits. Ph.D. thesis.

Consequences of sequences: Studies on convergent and divergent elements of neocortical inhibitory microcircuits. Ph.D. thesis. Consequences of sequences: Studies on convergent and divergent elements of neocortical inhibitory microcircuits Ph.D. thesis János Szabadics Supervisor: Gábor Tamás, Ph.D. Department of Comparative Physiology,

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

Properties of single voltage-dependent K + channels in dendrites of CA1 pyramidal neurones of rat hippocampus

Properties of single voltage-dependent K + channels in dendrites of CA1 pyramidal neurones of rat hippocampus J Physiol 559.1 (24) pp 187 23 187 Properties of single voltage-dependent K + channels in dendrites of CA1 pyramidal neurones of rat hippocampus Xixi Chen and Daniel Johnston Department of Neuroscience,

More information

Different levels of I h determine distinct temporal integration in bursting and regular-spiking neurons in rat subiculum

Different levels of I h determine distinct temporal integration in bursting and regular-spiking neurons in rat subiculum J Physiol 576.1 (2006) pp 203 214 203 Different levels of I h determine distinct temporal integration in bursting and regular-spiking neurons in rat subiculum Ingrid van Welie, Michiel W. H. Remme, Johannes

More information

Enhancement of synaptic transmission by cyclic AMP modulation of presynaptic I h channels. Vahri Beaumont and Robert S. Zucker

Enhancement of synaptic transmission by cyclic AMP modulation of presynaptic I h channels. Vahri Beaumont and Robert S. Zucker Enhancement of synaptic transmission by cyclic AMP modulation of presynaptic I h channels Vahri Beaumont and Robert S. Zucker Background I h channels discovered in 1976 (Noma A. and Irisawa H.) Voltage-gated

More information

JESSY JOHN* and ROHIT MANCHANDA

JESSY JOHN* and ROHIT MANCHANDA Modulation of synaptic potentials and cell excitability by dendritic K IR and K A s channels in nucleus accumbens medium spiny neurons: A computational study JESSY JOHN* and ROHIT MANCHANDA Biomedical

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

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

Cellular/Molecular. The Journal of Neuroscience, February 21, (8):

Cellular/Molecular. The Journal of Neuroscience, February 21, (8): The Journal of Neuroscience, February 21, 2007 27(8):1853 1867 1853 Cellular/Molecular M-Channels (Kv7/KCNQ Channels) That Regulate Synaptic Integration, Excitability, and Spike Pattern of CA1 Pyramidal

More information

EE 791 Lecture 2 Jan 19, 2015

EE 791 Lecture 2 Jan 19, 2015 EE 791 Lecture 2 Jan 19, 2015 Action Potential Conduction And Neural Organization EE 791-Lecture 2 1 Core-conductor model: In the core-conductor model we approximate an axon or a segment of a dendrite

More information

The Journal of Physiology

The Journal of Physiology J Physiol 590.7 (2012) pp 1699 1720 1699 GABA-mediated spatial and temporal asymmetries that contribute to the directionally selective light responses of starburst amacrine cells in retina Andrey V. Dmitriev,

More information

Supplementary Figure 1. GABA depolarizes the majority of immature neurons in the

Supplementary Figure 1. GABA depolarizes the majority of immature neurons in the Supplementary Figure 1. GABA depolarizes the majority of immature neurons in the upper cortical layers at P3 4 in vivo. (a b) Cell-attached current-clamp recordings illustrate responses to puff-applied

More information

Brief presynaptic bursts evoke synapse-specific retrograde inhibition mediated by endogenous cannabinoids

Brief presynaptic bursts evoke synapse-specific retrograde inhibition mediated by endogenous cannabinoids Brief presynaptic bursts evoke synapse-specific retrograde inhibition mediated by endogenous cannabinoids Solange P Brown 1 3,Stephan D Brenowitz 1,3 & Wade G Regehr 1 Many types of neurons can release

More information

Chapter 4 Neuronal Physiology

Chapter 4 Neuronal Physiology Chapter 4 Neuronal Physiology V edit. Pg. 99-131 VI edit. Pg. 85-113 VII edit. Pg. 87-113 Input Zone Dendrites and Cell body Nucleus Trigger Zone Axon hillock Conducting Zone Axon (may be from 1mm to more

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

Firing Pattern Formation by Transient Calcium Current in Model Motoneuron

Firing Pattern Formation by Transient Calcium Current in Model Motoneuron Nonlinear Analysis: Modelling and Control, Vilnius, IMI, 2000, No 5 Lithuanian Association of Nonlinear Analysts, 2000 Firing Pattern Formation by Transient Calcium Current in Model Motoneuron N. Svirskienė,

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

Neurons: Structure and communication

Neurons: Structure and communication Neurons: Structure and communication http://faculty.washington.edu/chudler/gall1.html Common Components of a Neuron Dendrites Input, receives neurotransmitters Soma Processing, decision Axon Transmits

More information

Electrical Properties of Neurons. Steven McLoon Department of Neuroscience University of Minnesota

Electrical Properties of Neurons. Steven McLoon Department of Neuroscience University of Minnesota Electrical Properties of Neurons Steven McLoon Department of Neuroscience University of Minnesota 1 Neuronal Communication Neurons communicate with other cells, often over long distances. The electrical

More information

Axon initial segment position changes CA1 pyramidal neuron excitability

Axon initial segment position changes CA1 pyramidal neuron excitability Axon initial segment position changes CA1 pyramidal neuron excitability Cristina Nigro and Jason Pipkin UCSD Neurosciences Graduate Program Abstract The axon initial segment (AIS) is the portion of the

More information

Wenqin Hu, Cuiping Tian, Tun Li, Mingpo Yang, Han Hou & Yousheng Shu

Wenqin Hu, Cuiping Tian, Tun Li, Mingpo Yang, Han Hou & Yousheng Shu Distinct contributions of Na v 1.6 and Na v 1.2 in action potential initiation and backpropagation Wenqin Hu, Cuiping Tian, Tun Li, Mingpo Yang, Han Hou & Yousheng Shu Supplementary figure and legend Supplementary

More information

Neuromorphic computing

Neuromorphic computing Neuromorphic computing Robotics M.Sc. programme in Computer Science lorenzo.vannucci@santannapisa.it April 19th, 2018 Outline 1. Introduction 2. Fundamentals of neuroscience 3. Simulating the brain 4.

More information

The action potential travels down both branches because each branch is a typical axon with voltage dependent Na + and K+ channels.

The action potential travels down both branches because each branch is a typical axon with voltage dependent Na + and K+ channels. BIO 360 - MIDTERM FALL 2018 This is an open book, open notes exam. PLEASE WRITE YOUR NAME ON EACH SHEET. Read each question carefully and answer as well as you can. Point values are shown at the beginning

More information

A concurrent excitation and inhibition of dopaminergic subpopulations in response

A concurrent excitation and inhibition of dopaminergic subpopulations in response A concurrent excitation and inhibition of dopaminergic subpopulations in response to nicotine Raphaël Eddine PhD 1, Sebastien Valverde MSc 1, Stefania Tolu PhD 1, Daniel Dautan MSc 1, Audrey Hay MSc 1,

More information

Intro. Comp. NeuroSci. Ch. 9 October 4, The threshold and channel memory

Intro. Comp. NeuroSci. Ch. 9 October 4, The threshold and channel memory 9.7.4 The threshold and channel memory The action potential has a threshold. In figure the area around threshold is expanded (rectangle). A current injection that does not reach the threshold does not

More information

Bidirectional NMDA receptor plasticity controls CA3 output and heterosynaptic metaplasticity

Bidirectional NMDA receptor plasticity controls CA3 output and heterosynaptic metaplasticity Bidirectional NMDA receptor plasticity controls CA output and heterosynaptic metaplasticity David L. Hunt, Nagore Puente, Pedro Grandes, Pablo E. Castillo a NMDAR EPSC (pa) - - -8-6 -4 - st 5 nd 5 b NMDAR

More information

Selective Shunting of the NMDA EPSP Component by the Slow Afterhyperpolarization in Rat CA1 Pyramidal Neurons

Selective Shunting of the NMDA EPSP Component by the Slow Afterhyperpolarization in Rat CA1 Pyramidal Neurons J Neurophysiol 97: 3242 3255, 2007. First published February 28, 2007; doi:10.1152/jn.00422.2006. Selective Shunting of the NMDA EPSP Component by the Slow Afterhyperpolarization in Rat CA1 Pyramidal Neurons

More information

Slow Na Inactivation and Variance Adaptation in Salamander Retinal Ganglion Cells

Slow Na Inactivation and Variance Adaptation in Salamander Retinal Ganglion Cells 1506 The Journal of Neuroscience, February 15, 2003 23(4):1506 1516 Slow Na Inactivation and Variance Adaptation in Salamander Retinal Ganglion Cells Kerry J. Kim and Fred Rieke Department of Physiology

More information

Dep. Control Time (min)

Dep. Control Time (min) aa Control Dep. RP 1s 1 mv 2s 1 mv b % potentiation of IPSP 2 15 1 5 Dep. * 1 2 3 4 Time (min) Supplementary Figure 1. Rebound potentiation of IPSPs in PCs. a, IPSPs recorded with a K + gluconate pipette

More information

The Journal of Physiology Neuroscience

The Journal of Physiology Neuroscience J Physiol 592.4 (2014) pp 669 693 669 The Journal of Physiology Neuroscience Complementary functions of SK and Kv7/M potassium channels in excitability control and synaptic integration in rat hippocampal

More information

Transmission Efficacy and Plasticity in Glutamatergic Synapses Formed by Excitatory Interneurons of the Substantia Gelatinosa in the Rat Spinal Cord

Transmission Efficacy and Plasticity in Glutamatergic Synapses Formed by Excitatory Interneurons of the Substantia Gelatinosa in the Rat Spinal Cord Transmission Efficacy and Plasticity in Glutamatergic Synapses Formed by Excitatory Interneurons of the Substantia Gelatinosa in the Rat Spinal Cord Sónia F. A. Santos 1,2 *, Liliana L. Luz 1,2, Peter

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

Retinogeniculate Synaptic Properties Controlling Spike Number and Timing in Relay Neurons

Retinogeniculate Synaptic Properties Controlling Spike Number and Timing in Relay Neurons Retinogeniculate Synaptic Properties Controlling Spike Number and Timing in Relay Neurons Dawn M. Blitz and Wade G. Regehr J Neurophysiol 90:2438-2450, 2003. doi:10.1152/jn.00562.2003 You might find this

More information

Human Brain and Senses

Human Brain and Senses Human Brain and Senses Outline for today Levels of analysis Basic structure of neurons How neurons communicate Basic structure of the nervous system Levels of analysis Organism Brain Cell Synapses Membrane

More information

Chapter 2: Cellular Mechanisms and Cognition

Chapter 2: Cellular Mechanisms and Cognition Chapter 2: Cellular Mechanisms and Cognition MULTIPLE CHOICE 1. Two principles about neurons were defined by Ramón y Cajal. The principle of connectional specificity states that, whereas the principle

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

Action potential initiation and propagation in rat neocortical pyramidal neurons

Action potential initiation and propagation in rat neocortical pyramidal neurons Keywords: Action potential, Cerebral cortex, Dendrite 6798 Journal of Physiology (1997), 505.3, pp. 617 632 617 Action potential initiation and propagation in rat neocortical pyramidal neurons Greg Stuart

More information

The Subcellular Distribution of T-Type Ca 2+ Channels in Interneurons of the Lateral Geniculate Nucleus

The Subcellular Distribution of T-Type Ca 2+ Channels in Interneurons of the Lateral Geniculate Nucleus The Subcellular Distribution of T-Type Ca 2+ Channels in Interneurons of the Lateral Geniculate Nucleus Vaneeda Allken 1, Joy-Loi Chepkoech 1,2, Gaute T. Einevoll 1,3, Geir Halnes 1 * 1 Dept. of Mathematical

More information

MCB MIDTERM EXAM #1 MONDAY MARCH 3, 2008 ANSWER KEY

MCB MIDTERM EXAM #1 MONDAY MARCH 3, 2008 ANSWER KEY MCB 160 - MIDTERM EXAM #1 MONDAY MARCH 3, 2008 ANSWER KEY Name ID# Instructions: -Only tests written in pen will be regarded -Please submit a written request indicating where and why you deserve more points

More information

Synaptic Integration

Synaptic Integration Synaptic Integration 3 rd January, 2017 Touqeer Ahmed PhD Atta-ur-Rahman School of Applied Biosciences National University of Sciences and Technology Excitatory Synaptic Actions Excitatory Synaptic Action

More information

Dendritic Signal Integration

Dendritic Signal Integration Dendritic Signal Integration 445 Dendritic Signal Integration N Spruston, Northwestern University, Evanston, IL, USA ã 2009 Elsevier Ltd. All rights reserved. Overview: Questions Most neurons have elaborately

More information

Synaptic Transmission: Ionic and Metabotropic

Synaptic Transmission: Ionic and Metabotropic Synaptic Transmission: Ionic and Metabotropic D. Purves et al. Neuroscience (Sinauer Assoc.) Chapters 5, 6, 7. C. Koch. Biophysics of Computation (Oxford) Chapter 4. J.G. Nicholls et al. From Neuron to

More information

Action potentials propagate down their axon

Action potentials propagate down their axon Action potentials propagate down their axon Larger diameter axons have less resistance to ion flow Speed of conduction is faster in large diameter axons Saltatory conduction in myelinated axons Large myelinated

More information

1) Drop off in the Bi 150 box outside Baxter 331 or to the head TA (jcolas).

1) Drop off in the Bi 150 box outside Baxter 331 or  to the head TA (jcolas). Bi/CNS/NB 150 Problem Set 3 Due: Tuesday, Oct. 27, at 4:30 pm Instructions: 1) Drop off in the Bi 150 box outside Baxter 331 or e-mail to the head TA (jcolas). 2) Submit with this cover page. 3) Use a

More information

NEURONS COMMUNICATE WITH OTHER CELLS AT SYNAPSES 34.3

NEURONS COMMUNICATE WITH OTHER CELLS AT SYNAPSES 34.3 NEURONS COMMUNICATE WITH OTHER CELLS AT SYNAPSES 34.3 NEURONS COMMUNICATE WITH OTHER CELLS AT SYNAPSES Neurons communicate with other neurons or target cells at synapses. Chemical synapse: a very narrow

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

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

Requirements for LTP Induction by Pairing in Hippocampal CA1 Pyramidal Cells

Requirements for LTP Induction by Pairing in Hippocampal CA1 Pyramidal Cells Requirements for LTP Induction by Pairing in Hippocampal CA1 Pyramidal Cells HUAN-XIN CHEN, NIKOLAI OTMAKHOV, AND JOHN LISMAN Volen Center for Complex Systems, Biology Department, Brandeis University,

More information

Increased serotonin transporter expression reduces fear and recruitment of. parvalbumin interneurons of the amygdala

Increased serotonin transporter expression reduces fear and recruitment of. parvalbumin interneurons of the amygdala Increased serotonin transporter expression reduces fear and recruitment of parvalbumin interneurons of the amygdala Marco Bocchio, Giulia Fucsina, Lydia Oikonomidis, Stephen B McHugh, David M Bannerman,

More information

Nervous Tissue and Neurophysiology

Nervous Tissue and Neurophysiology Nervous Tissue and Neurophysiology Objectives Describe the two major divisions of the nervous system and their characteristics. Identify the structures/functions of a typical neuron. Describe the location

More information

Neurons! John A. White Dept. of Bioengineering

Neurons! John A. White Dept. of Bioengineering Neurons! John A. White Dept. of Bioengineering john.white@utah.edu What makes neurons different from cardiomyocytes? Morphological polarity Transport systems Shape and function of action potentials Neuronal

More information

Introduction to Neurobiology

Introduction to Neurobiology Biology 240 General Zoology Introduction to Neurobiology Nervous System functions: communication of information via nerve signals integration and processing of information control of physiological and

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

Frequency-Dependent Modulation of Retinogeniculate Transmission by Serotonin

Frequency-Dependent Modulation of Retinogeniculate Transmission by Serotonin 10950 The Journal of Neuroscience, December 1, 2004 24(48):10950 10962 Cellular/Molecular Frequency-Dependent Modulation of Retinogeniculate Transmission by Serotonin Daniel P. Seeburg, 1 Xiaojin Liu,

More information

Ion Channels (Part 2)

Ion Channels (Part 2) Ion Channels (Part 2) Graphics are used with permission of : adam.com (http://www.adam.com/) Benjamin/Cummings Publishing Co (http://www.awl.com/bc) -57- Quiz Question #2: Ion Channels This question asks

More information

Supplementary Information. Errors in the measurement of voltage activated ion channels. in cell attached patch clamp recordings

Supplementary Information. Errors in the measurement of voltage activated ion channels. in cell attached patch clamp recordings Supplementary Information Errors in the measurement of voltage activated ion channels in cell attached patch clamp recordings Stephen R. Williams 1,2 and Christian Wozny 2 1 Queensland Brain Institute,

More information

Dendritic Depolarization Efficiently Attenuates Low-Threshold Calcium Spikes in Thalamic Relay Cells

Dendritic Depolarization Efficiently Attenuates Low-Threshold Calcium Spikes in Thalamic Relay Cells The Journal of Neuroscience, May 15, 2000, 20(10):3909 3914 Dendritic Depolarization Efficiently Attenuates Low-Threshold Calcium Spikes in Thalamic Relay Cells X. J. Zhan, C. L. Cox, and S. Murray Sherman

More information

Simulating inputs of parvalbumin inhibitory interneurons onto excitatory pyramidal cells in piriform cortex

Simulating inputs of parvalbumin inhibitory interneurons onto excitatory pyramidal cells in piriform cortex Simulating inputs of parvalbumin inhibitory interneurons onto excitatory pyramidal cells in piriform cortex Jeffrey E. Dahlen jdahlen@ucsd.edu and Kerin K. Higa khiga@ucsd.edu Department of Neuroscience

More information

Chapter 5 subtitles GABAergic synaptic transmission

Chapter 5 subtitles GABAergic synaptic transmission CELLULAR NEUROPHYSIOLOGY CONSTANCE HAMMOND Chapter 5 subtitles GABAergic synaptic transmission INTRODUCTION (2:57) In this fifth chapter, you will learn how the binding of the GABA neurotransmitter to

More information

Portions from Chapter 6 CHAPTER 7. The Nervous System: Neurons and Synapses. Chapter 7 Outline. and Supporting Cells

Portions from Chapter 6 CHAPTER 7. The Nervous System: Neurons and Synapses. Chapter 7 Outline. and Supporting Cells CHAPTER 7 The Nervous System: Neurons and Synapses Chapter 7 Outline Neurons and Supporting Cells Activity in Axons The Synapse Acetylcholine as a Neurotransmitter Monoamines as Neurotransmitters Other

More information

The Journal of Physiology Neuroscience

The Journal of Physiology Neuroscience J Physiol 593.16 (215) pp 3549 3576 3549 The Journal of Physiology Neuroscience Active dendrites mediate stratified gamma-range coincidence detection in hippocampal model neurons Anindita Das and Rishikesh

More information

Intracellular recordings were achieved in the zebra finch using a custom microdrive constructed out of 3D

Intracellular recordings were achieved in the zebra finch using a custom microdrive constructed out of 3D SUPPLEMENTARY INFORMATION doi:1.138/nature9514 SUPPLEMENTARY METHODS Subjects We used adult (> 12 post hatch days) male zebra finches (Taeniopygia guttata) that were either raised in our colony or obtained

More information

MOLECULAR AND CELLULAR NEUROSCIENCE

MOLECULAR AND CELLULAR NEUROSCIENCE MOLECULAR AND CELLULAR NEUROSCIENCE BMP-218 November 4, 2014 DIVISIONS OF THE NERVOUS SYSTEM The nervous system is composed of two primary divisions: 1. CNS - Central Nervous System (Brain + Spinal Cord)

More information

Shunting Inhibition Does Not Have a Divisive Effect on Firing Rates

Shunting Inhibition Does Not Have a Divisive Effect on Firing Rates Communicated by Anthony Zador Shunting Inhibition Does Not Have a Divisive Effect on Firing Rates Gary R. Holt Christof Koch Computation and Neural Systems Program, California Institute of Technology,

More information

CHAPTER 44: Neurons and Nervous Systems

CHAPTER 44: Neurons and Nervous Systems CHAPTER 44: Neurons and Nervous Systems 1. What are the three different types of neurons and what are their functions? a. b. c. 2. Label and list the function of each part of the neuron. 3. How does the

More information

Action Potentials Are Required for the Lateral Transmission of Glycinergic Transient Inhibition in the Amphibian Retina

Action Potentials Are Required for the Lateral Transmission of Glycinergic Transient Inhibition in the Amphibian Retina The Journal of Neuroscience, March 15, 1998, 18(6):2301 2308 Action Potentials Are Required for the Lateral Transmission of Glycinergic Transient Inhibition in the Amphibian Retina Paul B. Cook, 1 Peter

More information

Chapter 11 Introduction to the Nervous System and Nervous Tissue Chapter Outline

Chapter 11 Introduction to the Nervous System and Nervous Tissue Chapter Outline Chapter 11 Introduction to the Nervous System and Nervous Tissue Chapter Outline Module 11.1 Overview of the Nervous System (Figures 11.1-11.3) A. The nervous system controls our perception and experience

More information

Thalamic control of cortical states

Thalamic control of cortical states Supplementary Information Thalamic control of cortical states James F.A. Poulet, Laura M.J. Fernandez, Sylvain Crochet & Carl C.H. Petersen Supplementary Information consists of: 1. Methods 2. Supplementary

More information

DUAL INTRACELLULAR RECORDINGS AND COMPUTATIONAL MODELS OF SLOW INHIBITORY POSTSYNAPTIC POTENTIALS IN RAT NEOCORTICAL AND HIPPOCAMPAL SLICES

DUAL INTRACELLULAR RECORDINGS AND COMPUTATIONAL MODELS OF SLOW INHIBITORY POSTSYNAPTIC POTENTIALS IN RAT NEOCORTICAL AND HIPPOCAMPAL SLICES Pergamon Neuroscience Vol. 92, No. 4, pp. 1193 1215, 1999 Copyright 1999 IBRO. Published by Elsevier Science Ltd Printed in Great Britain. All rights reserved PII: S0306-4522(99)00021-4 0306-4522/99 $20.00+0.00

More information

12-Lipoxygenase Regulates Hippocampal Long-Term Potentiation by Modulating L-Type Ca 2 Channels

12-Lipoxygenase Regulates Hippocampal Long-Term Potentiation by Modulating L-Type Ca 2 Channels 1822 The Journal of Neuroscience, February 3, 2010 30(5):1822 1831 Development/Plasticity/Repair 12-Lipoxygenase Regulates Hippocampal Long-Term Potentiation by Modulating L-Type Ca 2 Channels Anthony

More information

Self-Modulation of Neocortical Pyramidal Neurons by Endocannabinoids

Self-Modulation of Neocortical Pyramidal Neurons by Endocannabinoids Self-Modulation of Neocortical Pyramidal Neurons by Endocannabinoids Silvia Marinelli 1, Simone Pacioni 1, Astrid Cannich 2, Giovanni Marsicano 2 and Alberto Bacci 1* 1 European Brain Research Institute,

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