Neuronal Response Variability and Cortical Computation

 

This meeting is funded by The Swartz Foundation and The Gatsby Charitable Foundation.

 

The Banbury Center

Cold Spring Harbor Laboratory, Long Island, NY

April 3-6, 2011

 

Organizers:

Laurence Abbott, Columbia University, New York, New York

John Reynolds, Salk Institute for Biological Studies, La Jolla, California

 

PRELIMINARY PROGRAM

 

Sunday, 3 April

Afternoon Arrival at Robertson House, Banbury Center

 

6:00 pm Registration and Reception at Robertson House

 

7:30 pm Dinner at Robertson House

 

Monday, 4 April

7:15-8:15 am Breakfast at Robertson House

 

8:30-8:35 am Welcoming remarks

Jan A. Witkowski, Banbury Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York

 

8:35-8:45 am Laurence Abbott, Columbia University, New York, New York

Why Are We Here?

Introductory Remarks

 

8:45-12:50 pm SESSION 1: Correlations in Data and Models

Chair: Laurence Abbott, Columbia University, New York, New York

 

8:45-9:10 am Adam Kohn, Albert Einstein College of Medicine, Bronx, New York:

Signal Propagation Between V1 and V2

 

9:10-9:20 am Discussion

 

9:20-9:45 am Matthew Smith, University of Pittsburgh, Pittsburgh, Pennsylania:

Structure of Neuronal Correlation: Depth, Distance and Dynamics

 

9:45-9:55 am Discussion

 

9:55-10:20 am Andreas Tolias, Baylor College of Medicine, Houston, Texas:

Structure of Network Activity in the Neocortex

 

10:20-10:30 am Discussion

 

10:30-11:05 am Coffee Break

 

11:05-11:30 am Alfonso Renart, Champalimaud Centre for the Unknown, Lisboa, Portugal:

Temporal Correlations in Recurrent Neural Networks with Balanced Excitation

and Inhibition

 

11:30-11:40 am Discussion

 

11:40-12:05 pm John Curtis, Salk Institute, LaJolla, California:

Changes in Neuronal Gain Modulate Neuronal Synchronization and Correlation

 

12:05-12:15 pm Discussion

 

12:15-12:40 pm Marlene Cohen, Harvard Medical School, Boston, Massachusetts:

Relationship Between Gain Changes and Correlation Changes

 

12:40-12:50 am Discussion

 

1:00 pm Luncheon at Robertson House

 

2:00-5:30 pm SESSION 2: Effects of Stimuli and Attention on Variability and Correlations

Chair: Haim Sompolinsky, The Hebrew University, Jerusalem, Israel

 

2:00-2:25 pm Mark Churchland, Stanford University, Stanford, California:

Stimulus Onset Quenches Neural Variability: A Widespread Cortical

Phenomenon

 

2:25-2:35 pm Discussion

 

2:35-3:00 pm Kanaka Rajan, Princeton University, Princeton, New Jersey:

Stimulus-Dependent Supression of Chaos in Recurrent Neural Networks

 

3:00-3:10 pm Discussion

 

3:10-3:35 pm Emily Anderson, Salk Institute for Biological Studies, Ja Jolla California:

Burstiness and Attentional Modulation in V4

 

3:35-3:45 pm Discussion

 

3:45-4:20 pm Break

 

4:20-4:45 pm Tatiana Pasternak, University of Rochester, Rochester, New York:

Trial-Trial Variability of Cortical Neurons Reveals the Nature of their

Engagement in a Visual Discrimination Task

 

4:45-4:55 pm Discussion

 

4:55-5:20 pm Krishna Shenoy, Stanford University, Stanford, California:

Towards a Single-Trial Understanding of Motor Preparation and Variability

 

5:20-5:30 pm Discussion

 

6:00 pm Reception at Robertson House

 

7:00 pm Dinner at Robertson House

 

Tuesday, April 5

7:15-8:15 am Breakfast at Robertson House

 

8:45-12:15 pm SESSION 3: Decisions and Choice Probability

Chair: Tatiana Pasternak, University of Rochester, Rochester, New York

 

8:45-9:10 am Jaime de la Rocha, Institut D’Investigacions Biomédique:

A Model for Choice Probability: Disambiguating Whether Response Variability

Biases the Decision or Vice-Versa

 

9:10-9:20 am Discussion

 

9:20-9:45 am Alfredo Fontanini, SUNY Stony Brook, Stony Brook, New York:

Effects of Anticipatory Cues on Gustatory Processing in Actively Sensing Rats

 

9:45-9:55 am Discussion

 

9:55-10:20 am Xiao-Jing Wang, Yale University School of Medicine, New Haven, Connecticut:

A Reservoir of Time Constants for Memory Traces in Cortical Neurons

 

10:20-10:30 am Discussion

 

10:30-11:05 am Coffee Break

 

11:05-11:30 am Michael Shadlen, University of Washington, Howard Hughes Medical Institute, Seattle, Washington: Variance as a Signature of Neural Computations During Decision Making

 

11:30-11:40 am Discussion

 

11:40-12:05 pm Dario Ringach, University of California, Los Angeles, Oakland, California: TBD

 

12:05-12:15 pm Discussion

 

12:30 pm Luncheon at Robertson House

 

2:00-5:30 pm SESSION 4: Variability and Correlations in Coding and Circuits

Chair: Xiao-Jing Wang, Yale University School of Medicine, New Haven,

Connecticut

 

2:00-2:25 pm Bruno Averbeck, National Institute of Health, Bethesda Maryland:

Noise Correlations and Information Encoding and Decoding

 

2:25-2:35 pm Discussion

 

2:35-3:00 pm Krishnan Padmanabhan, Carnegie Mellon University, Pittsburgh, Pennsylvania:

Intrinsic Biophysical Diversity Neuronal Firing While Increasing Information

Content

 

3:00-3:10 pm Discussion

 

3:10-3:35 pm Valentin Dragoi, University of Texas-Houston Medical Center, Houston, Texas:

Correlation Variability in Laminar Cortical Circuits

 

3:35-3:45 pm Discussion

 

3:45-4:20 pm Break

 

4:20-4:45 pm Nicholas Brunel, Université Paris Descarte, Paris, France:

Response of Networks of Excitatory and Inhibitory Neurons to Time-Dependent

Inputs

 

4:45-4:55 pm Discussion

 

4:55-5:20 pm Haim Sompolinsky, The Hebrew University, Jerusalem, Israel:

TBD

 

5:20-5:30 pm Discussion

 

6:00 pm Reception at Robertson House

 

7:00 pm Dinner at Robertson House

 

Wednesday, April 6

7:15-8:15 am Breakfast at Robertson House

 

9:00-12:05 pm SESSION 5: Variability and Correlation in Visual Processing and BOLD

Signals

Chair: John Reynolds, Salk Institute for Biological Studies, Lo Jolla, California

 

9:00-9:25 am Yves Fregnac, CNRS UNIC, Gif sur Yvette, France:

Contextual-Dependency of Signal Reliability and Noise in V1 During Sensory

Processing/Adaption of the Simple or Complex Nature of V1 Receptive Fields to

Visual Statistics

 

9:25-9:35 am Discussion

 

9:35-10:00 am Leslie Osborne, University of Chicago, Chicago, Illinois:

Variability in Smooth Pursuit Eye Movements and its Origin in the Brain:

Information Coding of Visual Motion in Cortical Area MT in Single Units and

Populations

 

10:00-10:10 am Discussion

 

10:10-10:35 am Maurizio Corbetta, Washington University School of Medicine, St. Louis, Missouri:

Bold Signal Noise and Behavior

 

10:35-10:45 am Discussion

 

10:45-11:15 am Coffee Break

 

11:15-11:40 pm Wilson Geisler, University of Texas at Austin, Austin, Texas:

Optimal Receptive Fields for Natural Tasks: Efficiency, Redundancy and Neural

Noise

 

11:40-11:50 pm Discussion

 

11:50-12:05 pm Closing Remarks and Discussion:

John Reynolds, Salk Institute for Biological Studies, Lo Jolla, California:

 

12:30 pm Luncheon at Robertson House

 

Afternoon Departure

 

 

Saturday, December 7, 2024
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