Relationships between Spike Train Spatiotemporal Structure and Cortical Synchronization
|
|
|
- Annice Parks
- 5 years ago
- Views:
Transcription
1 Relationships between Spike Train Spatiotemporal Structure and Cortical Synchronization Jason M. Samonds 1, Heather A. Brown 1, A.B. Bonds 1,2 Vanderbilt University, Nashville TN, USA Department of Biomedical Engineering 2 Department of Electrical Engineering and Computer Science Samonds et al., VSS 24 (jason.m.samonds@vanderbilt.edu)
2 Cooperative Synchronized Assemblies Enhance Orientation Discrimination Samonds et al., Proc Nat Acad Sci USA 11: , 24 area centralis Area msec Medial-Lateral mm Posterior - Anterior LAC 5 degrees Samonds et al., VSS 24 (jason.m.samonds@vanderbilt.edu)
3 Examples of Temporal Structure Auto-correlation Bursts Bursting Refractory Period 1 st Peak Auto-correlation Bursting with Gamma Oscillation nd Peak Samonds et al., VSS 24 (jason.m.samonds@vanderbilt.edu) Fourier Energy Hz Frequency (Hz) Aertsen AMHJ, Gerstein GL, Habib MK, and Palm G. Dynamics of neuronal firing correlation: modulation of effective connectivity. J Neurophysiol 61:9-917, (RDH) Lebedev MA and Wise SP (2) Oscillations in the premotor cortex: single-unit activity from awake, behaving monkeys. Exp Brain Res 13: ACH RDH
4 Serial dependency of oscillation extrinsic source ACH RDH Less oscillation after shuffling intervals (not intrinsic) Oscillation (1 st peak) Oscillation (2 nd peak) Inhibitory GABAergic interneuronal networks? Traub RD, Cunning ham MO, Glovelli T, LeBeau FEN, Bibbig A, Buhl EH, and Whittington MA. GABA-enhanced collective behavior in neuronal axons underlies persistent gamma-frequency oscillations. Proc Nat Acad Sci USA 1: , 23. Pyramidal Cell GABA Basket Cell Interneuron Cunningham MO, Davies CH, Buhl EH, Kopell N, and Whittington MA. Gamma oscillations induced by kainite receptor activation in the entorhinal cortex in vitro. J Neurosci 23: , 23. GABA Samonds et al., VSS 24 (jason.m.samonds@vanderbilt.edu)
5 Does oscillation drive synchrony? Cell 8 A B C Cell Cell ACH RDH 4. D Cell E Cell Samonds et al., VSS 23 (jason.m.samonds@vanderbilt.edu)
6 Moderate correlation between bursts or oscillation and synchrony 4. R 2 =.22 R 2 =.29 Synchrony (cross-correlation peak) R 2 = Refractory Bursts Oscillations Samonds et al., VSS 23 (jason.m.samonds@vanderbilt.edu)
7 Oscillation maintains synchronization Oscillatory Non-oscillatory Time (ms) Maintained Time (ms) Decay Oscillation Starting Correlation Correlation After 2 s No Oscillation Samonds et al., VSS 23 (jason.m.samonds@vanderbilt.edu)
8 Transient Synchrony? Shifts in the timing of the response onset determine orientation-dependent synchrony A Stimulus Receptive Fields B Response Stimulus Receptive Fields Response Samonds JM, Bonds AB. J Neurophysiol 91: , 24. C.3 174º D.3 184º Probability Probability E Time (s) F Time (s) Lag Time (ms) Lag Time (ms)
9 The input rather than oscillation drives cortical synchronization Synchrony depends on input Reliability of synchronous input R 2 = R 2 = Latency (ms) SD Latency (ms) Samonds et al., VSS 23 (jason.m.samonds@vanderbilt.edu)
10 Conclusions and Thoughts Supra-threshold Activation? Coherence/Correlation Synchronous Input Interval Structure Synchronous Output Incoherent or Unstructured Noise Asynchronous Inputs Spike Threshold Asynchronous Outputs Coherent or Structured Activation of Multiple Cells Synchronous Inputs Burst and/or Oscillation Threshold 1 Synchronous Outputs Gamma Oscillation Bursts Galarreta and Hestrin, 21; Harris et al., 21 Samonds et al., VSS 23 (jason.m.samonds@vanderbilt.edu) 1 Agmon and Connors, 1989; Connors and Gutnick, 199; Traub and Miles, 1991; Silva-Barrat et al., 1992; Frenceschetti et al., 1995; Gray and McCormick, 1996; Brumberg et al., 2; Nowak et al., 23
11 Acknowledgements For experimental assistance and helpful discussion John Allison Richard Shiavi Ross Snider George Gerstein Supported by National Eye Institute Grants R1EY R1EY Samonds et al., VSS 24
What do you notice? Edited from
What do you notice? Edited from https://www.youtube.com/watch?v=ffayobzdtc8&t=83s How can a one brain region increase the likelihood of eliciting a spike in another brain region? Communication through
Diverse Origins of Network Rhythms in Local Cortical Circuits
Diverse Origins of Network Rhythms in Local Cortical Circuits Miles A. Whittington, PhD, 1 Roger D. Traub, MD, 2 and Nancy Kopell, PhD 3 1 Institute of Neuroscience The Medical School, University of Newcastle-upon-Tyne
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
Gamma frequency oscillations are readily recordable from
A role for fast rhythmic bursting neurons in cortical gamma oscillations in vitro Mark O. Cunningham*, Miles A. Whittington*, Andrea Bibbig, Anita Roopun*, Fiona E. N. LeBeau*, Angelika Vogt, Hannah Monyer,
What do you notice?
What do you notice? https://www.youtube.com/watch?v=5v5ebf2kwf8&t=143s Models for communication between neuron groups Communication through neuronal coherence Neuron Groups 1 and 3 send projections to
Different inhibitory effects by dopaminergic modulation and global suppression of activity
Different inhibitory effects by dopaminergic modulation and global suppression of activity Takuji Hayashi Department of Applied Physics Tokyo University of Science Osamu Araki Department of Applied Physics
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
Analysis of State-Dependent Transitions in Frequency and Long-Distance Coordination in a Model Oscillatory Cortical Circuit
Journal of Computational Neuroscience 15, 283 298, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands. Analysis of State-Dependent Transitions in Frequency and Long-Distance Coordination
Persistent gamma oscillations in superficial layers of rat auditory neocortex: experiment and model
J Physiol 562.1 (2005) pp 3 8 3 SYMPOSIUM REPORT Persistent gamma oscillations in superficial layers of rat auditory neocortex: experiment and model Roger D.Traub 1,Andrea Bibbig 1, Fiona E. N. LeBeau
Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model
The Journal of Neuroscience, October 15, 1996, 16(20):6402 6413 Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model Xiao-Jing Wang 1 and György Buzsáki 2 1 Physics Department
Oscillations: From Neuron to MEG
Oscillations: From Neuron to MEG Educational Symposium, MEG UK 2014, Nottingham, Jan 8th 2014 Krish Singh CUBRIC, School of Psychology Cardiff University What are we trying to achieve? Bridge the gap from
Introduction to Computational Neuroscience
Introduction to Computational Neuroscience Lecture 7: Network models Lesson Title 1 Introduction 2 Structure and Function of the NS 3 Windows to the Brain 4 Data analysis 5 Data analysis II 6 Single neuron
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,
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,
A mechanism for cognitive dynamics: neuronal communication through neuronal
Published in final edited form as: Trends in Cognitive Science 9(10), 474-480. doi: 10.1016/j.tics.2005.08.011 A mechanism for cognitive dynamics: neuronal communication through neuronal coherence Pascal
CS/NEUR125 Brains, Minds, and Machines. Due: Friday, April 14
CS/NEUR125 Brains, Minds, and Machines Assignment 5: Neural mechanisms of object-based attention Due: Friday, April 14 This Assignment is a guided reading of the 2014 paper, Neural Mechanisms of Object-Based
Effects of Inhibitory Synaptic Current Parameters on Thalamocortical Oscillations
Effects of Inhibitory Synaptic Current Parameters on Thalamocortical Oscillations 1 2 3 4 5 Scott Cole Richard Gao Neurosciences Graduate Program Department of Cognitive Science University of California,
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
Inhibition: Effects of Timing, Time Scales and Gap Junctions
Inhibition: Effects of Timing, Time Scales and Gap Junctions I. Auditory brain stem neurons and subthreshold integ n. Fast, precise (feed forward) inhibition shapes ITD tuning. Facilitating effects of
Transitions between dierent synchronous ring modes using synaptic depression
Neurocomputing 44 46 (2002) 61 67 www.elsevier.com/locate/neucom Transitions between dierent synchronous ring modes using synaptic depression Victoria Booth, Amitabha Bose Department of Mathematical Sciences,
The firing rates of cortical neurons carry information about
Feedback stabilizes propagation of synchronous spiking in cortical neural networks Samat Moldakarimov a,b, Maxim Bazhenov a,c, and Terrence J. Sejnowski a,b,d, a Howard Hughes Medical Institute, Salk Institute
Synchrony Generation in Recurrent Networks with Frequency-Dependent Synapses
The Journal of Neuroscience, 2000, Vol. 20 RC50 1of5 Synchrony Generation in Recurrent Networks with Frequency-Dependent Synapses Misha Tsodyks, Asher Uziel, and Henry Markram Department of Neurobiology,
Timing and the cerebellum (and the VOR) Neurophysiology of systems 2010
Timing and the cerebellum (and the VOR) Neurophysiology of systems 2010 Asymmetry in learning in the reverse direction Full recovery from UP using DOWN: initial return to naïve values within 10 minutes,
Spike-timing-dependent synaptic plasticity can form zero lag links for cortical oscillations.
Neurocomputing 58 6 (24) 85 9 www.elsevier.com/locate/neucom Spike-timing-dependent synaptic plasticity can form zero lag links for cortical oscillations. Andreas Knoblauch a;, Friedrich T. Sommer b a
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
Supplementary Figure 1
8w Pia II/III IV V VI PV EYFP EYFP PV EYFP PV d PV EYFP Supplementary Figure a Spike probability x - PV-Cre d Spike probability x - RS RS b e Spike probability Spike probability.6......8..... FS FS c f
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
Elliot D. Menschik, Shih-Cheng Yen, and Leif H. Finkel
To appear in Computational Neuroscience: Trends in Research, 1998 (J.M. Bower, ed.) ATTRACTOR DYNAMICS IN REALISTIC HIPPOCAMPAL NETWORKS Elliot D. Menschik, Shih-Cheng Yen, and Leif H. Finkel Institute
Tiesinga Stimulus competition by inhibitory interference 1
Stimulus competition by inhibitory interference Paul H.E. Tiesinga Department of Physics & Astronomy University of North Carolina at Chapel Hill Chapel Hill, North Carolina 27599 Phone: 919 962 7199 Fax:
Modeling Depolarization Induced Suppression of Inhibition in Pyramidal Neurons
Modeling Depolarization Induced Suppression of Inhibition in Pyramidal Neurons Peter Osseward, Uri Magaram Department of Neuroscience University of California, San Diego La Jolla, CA 92092 possewar@ucsd.edu
The Role of Mitral Cells in State Dependent Olfactory Responses. Trygve Bakken & Gunnar Poplawski
The Role of Mitral Cells in State Dependent Olfactory Responses Trygve akken & Gunnar Poplawski GGN 260 Neurodynamics Winter 2008 bstract Many behavioral studies have shown a reduced responsiveness to
Synfire chains with conductance-based neurons: internal timing and coordination with timed input
Neurocomputing 5 (5) 9 5 www.elsevier.com/locate/neucom Synfire chains with conductance-based neurons: internal timing and coordination with timed input Friedrich T. Sommer a,, Thomas Wennekers b a Redwood
Synchrony and the attentional state
Synchrony and the attentional state Ernst Niebur, Dept. of Neuroscience & Krieger Mind/Brain Institute Johns Hopkins University niebur@jhu.edu Collaborators Arup Roy monkey monkey Peter monkey Steven monkey
Inhibitory synchrony as a mechanism for attentional gain modulation q
Journal of Physiology - Paris 98 (24) 296 314 www.elsevier.com/locate/jphysparis Inhibitory synchrony as a mechanism for attentional gain modulation q Paul H. Tiesinga a, *, Jean-Marc Fellous b,c,1, Emilio
Biomarkers in Schizophrenia
Biomarkers in Schizophrenia David A. Lewis, MD Translational Neuroscience Program Department of Psychiatry NIMH Conte Center for the Neuroscience of Mental Disorders University of Pittsburgh Disease Process
Effects of Input Synchrony on the Firing Rate of a Three-Conductance Cortical Neuron Model
Communicated by William Lytton Effects of Input Synchrony on the Firing Rate of a Three-Conductance Cortical Neuron Model Venkatesh N. Murthy' Eberhard E. Fetz Department of Physiology and Biophysics and
Reading Neuronal Synchrony with Depressing Synapses
NOTE Communicated by Laurence Abbott Reading Neuronal Synchrony with Depressing Synapses W. Senn Department of Neurobiology, Hebrew University, Jerusalem 4, Israel, Department of Physiology, University
Recurrent excitatory postsynaptic potentials induced by synchronized fast cortical oscillations
Proc. Natl. Acad. Sci. USA Vol. 94, pp. 12198 12203, October 1997 Neurobiology Recurrent excitatory postsynaptic potentials induced by synchronized fast cortical oscillations (neuronal network 40 Hz synaptic
Reentrant Signaling among Simulated Neuronal Groups Leads to Coherency in their Oscillatory Activity
Reentrant Signaling among Simulated Neuronal Groups Leads to Coherency in their Oscillatory Activity Olaf Sporns, Joseph A. Gally, George N. Reeke, and Gerald M. Edelman PNAS 1989;86;7265-7269 doi:1.173/pnas.86.18.7265
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
Voluntary Movements. Lu Chen, Ph.D. MCB, UC Berkeley. Outline. Organization of the motor cortex (somatotopic) Corticospinal projection
Voluntary Movements Lu Chen, Ph.D. MCB, UC Berkeley 1 Outline Organization of the motor cortex (somatotopic) Corticospinal projection Physiology of motor neurons Direction representation, population coding
Spectral Analysis of EEG Patterns in Normal Adults
Spectral Analysis of EEG Patterns in Normal Adults Kyoung Gyu Choi, M.D., Ph.D. Department of Neurology, Ewha Medical Research Center, Ewha Womans University Medical College, Background: Recently, the
The role of amplitude, phase, and rhythmicity of neural oscillations in top-down control of cognition
The role of amplitude, phase, and rhythmicity of neural oscillations in top-down control of cognition Chair: Jason Samaha, University of Wisconsin-Madison Co-Chair: Ali Mazaheri, University of Birmingham
Intracranial Studies Of Human Epilepsy In A Surgical Setting
Intracranial Studies Of Human Epilepsy In A Surgical Setting Department of Neurology David Geffen School of Medicine at UCLA Presentation Goals Epilepsy and seizures Basics of the electroencephalogram
Processing and Plasticity in Rodent Somatosensory Cortex
Processing and Plasticity in Rodent Somatosensory Cortex Dan Feldman Dept. of Molecular & Cell Biology Helen Wills Neuroscience Institute UC Berkeley Primary sensory neocortex Secondary and higher areas
Normal brain rhythms and the transition to epileptic activity
School on Modelling, Automation and Control of Physiological variables at the Faculty of Science, University of Porto 2-3 May, 2007 Topics on Biomedical Systems Modelling: transition to epileptic activity
Supplemental Information. Gamma and the Coordination of Spiking. Activity in Early Visual Cortex. Supplemental Information Inventory:
Neuron, Volume 77 Supplemental Information Gamma and the Coordination of Spiking Activity in Early Visual Cortex Xiaoxuan Jia, Seiji Tanabe, and Adam Kohn Supplemental Information Inventory: Supplementary
Electrophysiological and firing properties of neurons: categorizing soloists and choristers in primary visual cortex
*Manuscript Click here to download Manuscript: Manuscript revised.docx Click here to view linked Referenc Electrophysiological and firing properties of neurons: categorizing soloists and choristers in
Self-Organization and Segmentation with Laterally Connected Spiking Neurons
Self-Organization and Segmentation with Laterally Connected Spiking Neurons Yoonsuck Choe Department of Computer Sciences The University of Texas at Austin Austin, TX 78712 USA Risto Miikkulainen Department
Prof. Greg Francis 7/31/15
s PSY 200 Greg Francis Lecture 06 How do you recognize your grandmother? Action potential With enough excitatory input, a cell produces an action potential that sends a signal down its axon to other cells
Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in Cat Striate Cortex
Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in Cat Striate Cortex A. B. Bonds Dept. of Electrical Engineering Vanderbilt University N ashville, TN 37235 Abstract In single
Supplemental Material
Supplemental Material Recording technique Multi-unit activity (MUA) was recorded from electrodes that were chronically implanted (Teflon-coated platinum-iridium wires) in the primary visual cortex representing
The Visual System. Cortical Architecture Casagrande February 23, 2004
The Visual System Cortical Architecture Casagrande February 23, 2004 Phone: 343-4538 Email: vivien.casagrande@mcmail.vanderbilt.edu Office: T2302 MCN Required Reading Adler s Physiology of the Eye Chapters
Analysis of in-vivo extracellular recordings. Ryan Morrill Bootcamp 9/10/2014
Analysis of in-vivo extracellular recordings Ryan Morrill Bootcamp 9/10/2014 Goals for the lecture Be able to: Conceptually understand some of the analysis and jargon encountered in a typical (sensory)
NIH Public Access Author Manuscript J Neurosci. Author manuscript; available in PMC 2009 December 10.
NIH Public Access Author Manuscript Published in final edited form as: J Neurosci. 2009 June 10; 29(23): 7497 7503. doi:10.1523/jneurosci.6044-08.2009. A second function of gamma-frequency oscillations:
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
Functional reorganization in thalamocortical networks: Transition between spindling and delta sleep rhythms
Proc. Natl. Acad. Sci. USA Vol. 93, pp. 15417 15422, December 1996 Neurobiology Functional reorganization in thalamocortical networks: Transition between spindling and delta sleep rhythms D. TERMAN*, A.BOSE*,
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
Mechanisms for phase shifting in cortical networks and their role in communication through coherence
HUMAN NEUROSCIENCE PersPective Article published: 02 November 2010 doi: 10.3389/fnhum.2010.00196 Mechanisms for phase shifting in cortical networks and their role in communication through coherence Paul
HHS Public Access Author manuscript Nat Neurosci. Author manuscript; available in PMC 2014 September 19.
Selective optical drive of thalamic reticular nucleus generates thalamic bursts & cortical spindles Michael M. Halassa 1,2,4, Joshua H. Siegle 2,4, Jason T. Ritt 3, Jonathan T. Ting 2, Guoping Feng 2,
Neural Coding. Computing and the Brain. How Is Information Coded in Networks of Spiking Neurons?
Neural Coding Computing and the Brain How Is Information Coded in Networks of Spiking Neurons? Coding in spike (AP) sequences from individual neurons Coding in activity of a population of neurons Spring
Evaluating the Effect of Spiking Network Parameters on Polychronization
Evaluating the Effect of Spiking Network Parameters on Polychronization Panagiotis Ioannou, Matthew Casey and André Grüning Department of Computing, University of Surrey, Guildford, Surrey, GU2 7XH, UK
Attention, Binding, and Consciousness
Attention, Binding, and Consciousness 1. Perceptual binding, dynamic binding 2. Neural Correlates of Consciousness: Binocular rivalry 3. Attention vs. consciousness 4. Binding revisited: Split-brain, split-consciousness
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
Active Control of Spike-Timing Dependent Synaptic Plasticity in an Electrosensory System
Active Control of Spike-Timing Dependent Synaptic Plasticity in an Electrosensory System Patrick D. Roberts and Curtis C. Bell Neurological Sciences Institute, OHSU 505 N.W. 185 th Avenue, Beaverton, OR
CELLULAR MECHANISMS OF NEURONAL POPULATION OSCILLATIONS IN THE HIPPOCAMPUS IN VITRO
Annu. Rev. Neurosci. 2004. 27:247 78 doi: 10.1146/annurev.neuro.27.070203.144303 Copyright c 2004 by Annual Reviews. All rights reserved First published online as a Review in Advance on February 23, 2004
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
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
Rolls,E.T. (2016) Cerebral Cortex: Principles of Operation. Oxford University Press.
Digital Signal Processing and the Brain Is the brain a digital signal processor? Digital vs continuous signals Digital signals involve streams of binary encoded numbers The brain uses digital, all or none,
REVIEW Neurosystems: brain rhythms and cognitive processing
European Journal of Neuroscience, Vol. 39, pp. 705 719, 2014 doi:10.1111/ejn.12453 REVIEW Neurosystems: brain rhythms and cognitive processing Jonathan Cannon, 1, * Michelle M. McCarthy, 1, * Shane Lee,
Networks of interneurons with fast and slow -aminobutyric acid type A (GABA A ) kinetics provide substrate for mixed gamma-theta rhythm
Networks of interneurons with fast and slow -aminobutyric acid type A (GABA A ) kinetics provide substrate for mixed gamma-theta rhythm John A. White*, Matthew I. Banks, Robert A. Pearce, and Nancy J.
Neural response time integration subserves. perceptual decisions - K-F Wong and X-J Wang s. reduced model
Neural response time integration subserves perceptual decisions - K-F Wong and X-J Wang s reduced model Chris Ayers and Narayanan Krishnamurthy December 15, 2008 Abstract A neural network describing the
Neurobiology of Hearing 2015: Auditory thalamus
Neurobiology of Hearing 2015: Auditory thalamus MGD MGV MGM Edward L. Bartlett, Purdue University, Central Auditory Processing Lab Outline Review of receptive fields Introduction to the thalamus Core versus
SPIKE TRAIN ANALYSIS OF SPATIAL DISCRIMINATIONS AND FUNCTIONAL CONNECTIVITY OF PAIRS OF NEURONS IN CAT STRIATE CORTEX JASON MICHAEL SAMONDS
BIOMEDICAL ENGINEERING SPIKE TRAIN ANALYSIS OF SPATIAL DISCRIMINATIONS AND FUNCTIONAL CONNECTIVITY OF PAIRS OF NEURONS IN CAT STRIATE CORTEX JASON MICHAEL SAMONDS Thesis under the direction of Professor
Neuroscience: Exploring the Brain, 3e. Chapter 4: The action potential
Neuroscience: Exploring the Brain, 3e Chapter 4: The action potential Introduction Action Potential in the Nervous System Conveys information over long distances Action potential Initiated in the axon
Supplementary Motor Area exerts Proactive and Reactive Control of Arm Movements
Supplementary Material Supplementary Motor Area exerts Proactive and Reactive Control of Arm Movements Xiaomo Chen, Katherine Wilson Scangos 2 and Veit Stuphorn,2 Department of Psychological and Brain
CYTOARCHITECTURE OF CEREBRAL CORTEX
BASICS OF NEUROBIOLOGY CYTOARCHITECTURE OF CEREBRAL CORTEX ZSOLT LIPOSITS 1 CELLULAR COMPOSITION OF THE CEREBRAL CORTEX THE CEREBRAL CORTEX CONSISTS OF THE ARCHICORTEX (HIPPOCAMPAL FORMA- TION), PALEOCORTEX
Gamma frequency oscillations are thought to be of key
Fast synaptic inhibition promotes synchronized gamma oscillations in hippocampal interneuron networks Marlene Bartos*, Imre Vida, Michael Frotscher, Axel Meyer, Hannah Monyer,Jörg R. P. Geiger*, and Peter
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
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
Hippocampal Pyramidal Cell Interneuron Spike Transmission Is Frequency Dependent and Responsible for Place Modulation of Interneuron Discharge
The Journal of Neuroscience, 2002, Vol. 22 RC197 1of5 Hippocampal Pyramidal Cell Interneuron Spike Transmission Is Frequency Dependent and Responsible for Place Modulation of Interneuron Discharge Lisa
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
What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration. Abstract
What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration. J. J. Hopfield Department of Molecular Biology Princeton University, Princeton NJ 08544-1014 Carlos D. Brody
Computational cognitive neuroscience: 2. Neuron. Lubica Beňušková Centre for Cognitive Science, FMFI Comenius University in Bratislava
1 Computational cognitive neuroscience: 2. Neuron Lubica Beňušková Centre for Cognitive Science, FMFI Comenius University in Bratislava 2 Neurons communicate via electric signals In neurons it is important
The Sonification of Human EEG and other Biomedical Data. Part 3
The Sonification of Human EEG and other Biomedical Data Part 3 The Human EEG A data source for the sonification of cerebral dynamics The Human EEG - Outline Electric brain signals Continuous recording
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
Interneurons: their cognitive roles - A perspective from dynamical systems view
Interneurons: their cognitive roles - A perspective from dynamical systems view Hiroshi Fujii Department of Information & Communication Sciences Kyoto Sangyo University Kyoto 603-8555, Japan fujii@bacco.kyoto-su.ac.jp
Dopamine modulation of prefrontal delay activity - Reverberatory activity and sharpness of tuning curves
Dopamine modulation of prefrontal delay activity - Reverberatory activity and sharpness of tuning curves Gabriele Scheler+ and Jean-Marc Fellous* +Sloan Center for Theoretical Neurobiology *Computational
Modeling Sharp Wave-Ripple Complexes Through a CA3-CA1 Network Model with Chemical Synapses
HIPPOCAMPUS 00:000 000 (2011) Modeling Sharp Wave-Ripple Complexes Through a CA3-CA1 Network Model with Chemical Synapses Jiannis Taxidis, 1 * Stephen Coombes, 1 Robert Mason, 2 and Markus R. Owen 1 ABSTRACT:
Introduction to EEG del Campo. Introduction to EEG. J.C. Martin del Campo, MD, FRCP University Health Network Toronto, Canada
Introduction to EEG J.C. Martin, MD, FRCP University Health Network Toronto, Canada What is EEG? A graphic representation of the difference in voltage between two different cerebral locations plotted over
Introduction to Electrophysiology
Introduction to Electrophysiology Dr. Kwangyeol Baek Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School 2018-05-31s Contents Principles in Electrophysiology Techniques
PHY3111 Mid-Semester Test Study. Lecture 2: The hierarchical organisation of vision
PHY3111 Mid-Semester Test Study Lecture 2: The hierarchical organisation of vision 1. Explain what a hierarchically organised neural system is, in terms of physiological response properties of its neurones.
The connection between sleep spindles and epilepsy in a spatially extended neural field model
The connection between sleep spindles and epilepsy in a spatially extended neural field model 1 2 3 Carolina M. S. Lidstrom Undergraduate in Bioengineering UCSD clidstro@ucsd.edu 4 5 6 7 8 9 10 11 12 13
Structure and Function of the Auditory and Vestibular Systems (Fall 2014) Auditory Cortex (3) Prof. Xiaoqin Wang
580.626 Structure and Function of the Auditory and Vestibular Systems (Fall 2014) Auditory Cortex (3) Prof. Xiaoqin Wang Laboratory of Auditory Neurophysiology Department of Biomedical Engineering Johns
Synchronous oscillatory activity in sensory systems: new vistas on mechanisms Raphael Ritz and Terrence J Sejnowski
536 Synchronous oscillatory activity in sensory systems: new vistas on mechanisms Raphael Ritz and Terrence J Sejnowski The origin and nature, as well as the functional role, of synchronous oscillatory
Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves
SICE Annual Conference 27 Sept. 17-2, 27, Kagawa University, Japan Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves Seiji Nishifuji 1, Kentaro Fujisaki 1 and Shogo Tanaka 1 1
TEMPORAL PRECISION OF SENSORY RESPONSES Berry and Meister, 1998
TEMPORAL PRECISION OF SENSORY RESPONSES Berry and Meister, 1998 Today: (1) how can we measure temporal precision? (2) what mechanisms enable/limit precision? A. 0.1 pa WHY SHOULD YOU CARE? average rod
Synchronization of neural activity and models of information processing in the brain
From AAAI Technical Report WS-99-04. Compilation copyright 1999, AAAI. (www.aaai.org). All rights reserved. Synchronization of neural activity and models of information processing in the brain Roman Borisyuk
Department of Numerical Analysis and Computer Science, Royal Institute of Technology, S Stockholm, Sweden, 2
The Journal of Neuroscience, February, 2002, 22(3):08 097 Simulations of the Role of the Muscarinic-Activated Calcium- Sensitive Nonspecific Cation Current I NCM in Entorhinal Neuronal Activity during
Motor systems III: Cerebellum April 16, 2007 Mu-ming Poo
Motor systems III: Cerebellum April 16, 2007 Mu-ming Poo Population coding in the motor cortex Overview and structure of cerebellum Microcircuitry of cerebellum Function of cerebellum -- vestibulo-ocular