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
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