Associative Fear Learning Enhances Sparse Network Coding in Primary Sensory Cortex Amos Gdalyahu, Elaine Tring, Pierre-Olivier Polack, Robin Gruver, Peyman.

Slides:



Advertisements
Similar presentations
Introduction to Neural Networks
Advertisements

Neural population code for fine perceptual decisions in area MT Gopathy Purushothaman m M David C Bradley Image from: PLoS Journal Club # 4 September 28.
Driving fast-spiking cells induces gamma rhythm and controls sensory responses Driving fast-spiking cells induces gamma rhythm and controls sensory responses.
William Buchser Neuroscience Journal Club April 28 th 2004 Timing of neural responses in cortical organotypic slices.
Chapter 4: Local integration 2: Neural correlates of the BOLD signal
 AHP-afterhyperpolarization  Kmeth- potassium methylsulphate  Kgluc- potassium gluconate  LTP-long term potentiation  Plasticity-
Training-Induced Changes in Neural Function Per Aagaard Exer Sport Sci Rev: 31(2) 2003,
Cortical Encoding of Natural Auditory Scenes Brigid Thurgood.
Neural Coding 4: information breakdown. Multi-dimensional codes can be split in different components Information that the dimension of the code will convey.
Marseille, Jan 2010 Alfonso Renart (Rutgers) Jaime de la Rocha (NYU, Rutgers) Peter Bartho (Rutgers) Liad Hollender (Rutgers) Néstor Parga (UA Madrid)
Reading population codes: a neural implementation of ideal observers Sophie Deneve, Peter Latham, and Alexandre Pouget.
Discriminative Auditory Fear Learning Requires Both Tuned and Nontuned Auditory Pathways to the Amygdala Raquel Antunes and Marta A. Moita Champalimaud.
A synaptic memory trace for cortical receptive field plasticity Robert Froemke, Michael Merzenich & Christoph Schreiner Andrew Lysaght HST.723 April 22,
The Ups and Downs of Biological Timers Michael Kovshilovsky SoCalBSI 2005.
The auditory cortex mediates the perceptual effects of acoustic temporal expectation Santiago Jaramillo & Anthony M Zador Cold Spring Harbor Laboratory,
Electrical Synapses Control Hippocampal Contributions to Fear Learning and Memory Stephanie Bissiere, Moriel Zelikowsky, Ravikumar Ponnusamy, Nathan S.
Selective Adaptation using Electrical Stimulation Devyani Nanduri 2, J. D. Weiland1,2, A. Horsager 1, M. S. Humayun 1, 2, R. J. Greenberg 4, M. J. McMahon.
M.Sc. CNS Visual Perception Concept of receptive field Stan Gielen Dept. of Biophysics.
How facilitation influences an attractor model of decision making Larissa Albantakis.
Photo, p. 476 Ranulfo Romo. Figure 23.1 Vibration Discrimination Task and Performance.
MCDONNELL PROJECT. ABSTRACT Plasticity mechanisms can alter the responses of neurons in the auditory cortex. Input-specific reorganization of primary.
Mechanisms for phase shifting in cortical networks and their role in communication through coherence Paul H.Tiesinga and Terrence J. Sejnowski.
By: Li Xiao nature neuroscience 1 August 2004.
Adaptive, behaviorally gated, persistent encoding of task-relevant auditory information in ferret frontal cortex.
Michael P. Kilgard Sensory Experience and Cortical Plasticity University of Texas at Dallas.
Michael P. Kilgard Sensory Experience and Cortical Plasticity University of Texas at Dallas.
Sensory Experience Alters Response Strength, Selectivity and Temporal Processing of Auditory Cortex Neurons Mike Kilgard University of Texas at Dallas.
Cortical Stimulation Improves Skilled Forelimb Use Following a Focal Ischemic Infarct in the Rat Campbell Teskey et al, 2003.
Gamma-Band Activation Predicts Both Associative Memory and Cortical Plasticity Drew B. Headley and Norman M. Weinberger Center for the Neurobiology of.
How well do we understand the neural origins of the fMRI BOLD signal? Owen J Arthurs and Simon Boniface Trends in Neuroscience, 2002 Gillian Elizabeth.
Cornering the Fear Engram: Long-Term Synaptic Changes in the Lateral Nucleus of the Amygdala after Fear Conditioning Jeong-Tae Kwon and June-Seek Choi.
Sensory Physiology. Concepts To Understand Receptor Potential Amplitude Coding Frequency Coding Activation/Inactivation Neural Adaptation Synaptic Depression.
Chapter 3: Neural Processing and Perception. Neural Processing and Perception Neural processing is the interaction of signals in many neurons.
Factors Influencing Conditioning  CS and US Intensity, and Attention to the CS  Temporal relationship  Predictiveness  Preparedness  Redundancy 1.
Generation of a Synthetic Memory Trace Aleena R. Garner, 1,2 David C. Rowland, 3 Sang Youl Hwang, 1 Karsten Baumgaertel, 1 Bryan L. Roth, 4 Cliff Kentros,
Blocking The phenomenon of blocking tells us that what happens to one CS depends not only on its relationship to the US but also on the strength of other.
Information encoding and processing via spatio-temporal spike patterns in cortical networks Misha Tsodyks, Dept of Neurobiology, Weizmann Institute, Rehovot,
Spatial Organization of Neuronal Population Responses in Layer 2/3 of Rat Barrel Cortex Jason N. D. Kerr, Christiaan P. J. de Kock, David S. Greenberg,
PERCEPTUAL LEARNING AND CORTICAL SELF-ORGANIZATION Mike Kilgard University of Texas Dallas.
Two Mean Neuronal Waveforms Distribution of Spike Widths Interaction of Inhibitory and Excitatory Neurons During Visual Stimulation David Maher Department.
Electrophysiology & fMRI. Neurons Neural computation Neural selectivity Hierarchy of neural processing.
The Neural Code Baktash Babadi SCS, IPM Fall 2004.
Greater Intensity = Faster Cortical Response These “data” are for illustration only.
Mind, Brain & Behavior Monday February 10, Sensory Systems  Sensory modalities: Vision, hearing, touch, taste, smell  Submodalities – building.
Persistent activity and oscillations in recurrent neural networks in the high-conductance regime Rubén Moreno-Bote with Romain Brette and Néstor Parga.
Modulatory Influence of Auditory Cortex on the Activity of Medial Geniculate Body Neurons in Rat R. Moucha1, J. Poeplar2, D. Suta2, M.P. Kilgard1, J.
NATURE NEUROSCIENCE 2007 Coordinated memory replay in the visual cortex and hippocampus during sleep Daoyun Ji & Matthew A Wilson Department of Brain.
3) determine motion and sound perceptions.
1.
Volume 22, Issue 16, Pages (August 2012)
Volume 67, Issue 2, Pages (July 2010)
Sensing with the Motor Cortex
Volume 75, Issue 1, Pages (July 2012)
Volume 97, Issue 6, Pages e5 (March 2018)
David M. Schneider, Sarah M.N. Woolley  Neuron 
Cristopher M. Niell, Michael P. Stryker  Neuron 
Volume 74, Issue 5, Pages (June 2012)
Effects of Arousal on Mouse Sensory Cortex Depend on Modality
Sensory Experience Restructures Thalamocortical Axons during Adulthood
Linking Memories across Time via Neuronal and Dendritic Overlaps in Model Neurons with Active Dendrites  George Kastellakis, Alcino J. Silva, Panayiota.
SK2 Channel Modulation Contributes to Compartment-Specific Dendritic Plasticity in Cerebellar Purkinje Cells  Gen Ohtsuki, Claire Piochon, John P. Adelman,
David M. Schneider, Sarah M.N. Woolley  Neuron 
A Corticothalamic Circuit for Refining Tactile Encoding
Volume 75, Issue 1, Pages (July 2012)
Enhancement of Synaptic Efficacy by Presynaptic GABAB Receptors
Hiroyuki K. Kato, Shea N. Gillet, Jeffry S. Isaacson  Neuron 
Manuel A Castro-Alamancos  Neuron 
Cellular Mechanisms Underlying Stimulus-Dependent Gain Modulation in Primary Visual Cortex Neurons In Vivo  Jessica A. Cardin, Larry A. Palmer, Diego.
Rapid Neocortical Dynamics: Cellular and Network Mechanisms
Stimulation of VTA GABA neurons reduces firing activity in the DG in vivo. Stimulation of VTA GABA neurons reduces firing activity in the DG in vivo. A,
Presentation transcript:

Associative Fear Learning Enhances Sparse Network Coding in Primary Sensory Cortex Amos Gdalyahu, Elaine Tring, Pierre-Olivier Polack, Robin Gruver, Peyman Golshani,Michael S. Fanselow, Alcino J. Silva, and Joshua T. Trachtenberg University of California Los Angeles Neuron 75, 121–132, July 12, 2012

SPARSE CODING Background Redundancy: the total number of spikes elicited by a sensory stimulus exceeds the number needed for sensory perception. ‘‘Sparse coding’’: while individual neurons can fire at high instantaneous frequencies, particularly in primary sensory cortices, the maximum sustainable average firing rate has been estimated to be between 1 and 4 Hz. The cortex can optimize the fraction of neurons responding when the stimulus is presented (sparse population coding) and/or can optimize how frequently a single neuron responds when the stimulus is presented n times (lifetime sparseness, or fidelity)

Developing a variant of fear conditioning in freely exploring mice in which whisker stimulation (conditional stimulus [CS]) was either paired or explicitly unpaired with foot shock. Examining how learning the association between the CS and the shock affected subsequent encoding of the CS using in vivo calcium imaging. Examining whether the results were specific to associative learning What is the relationship between cortical sparsification and associative learning? Three sets of experiments

PART I The Model of Associative Fear Learning Results

Mice Learn to Associate Passive Whisker Stimulation with Shock

PART II Does the learned CS-US association affect subsequent encoding of the CS in primary sensory cortex?

Associative Fear Learning Enhances Sparse Population Coding

Average magnitude of spontaneous activity defines response threshold Fidelity of spontaneous activity defines response threshold

Associative Fear Learning Increases Response Strength without Altering Response Fidelity

Conclusion 1 : fear learning reduces the fraction of neurons responding to the CS, while increasing the strength of responsive neurons. The net effect is an enhancement of sparse population coding with a moderate decrease in total activity.

PART III Are the effects observed after associative fear conditioning general to learning per se, or specific to associative fear learning?

Nonassociative Training Reduces Response Strength and Enhances Response Fidelity, but Does Not Affect Sparse Population Coding

Conclusion 2: exposure to a nonreinforced stimulus has no effect on population sparsification, but does enhance response fidelity at the expense of response strength.

Thank you