Monday, February 19, 2007
Session 1: Measurement and Analysis I
Session Chair: Garrett Kenyon and Luis Bettencourt
8:00-8:05 Welcome from Robert Ecke, CNLS Center Director
8:05-8:10 Welcome from Robert Duncan, Institute for Advanced Studies
8:10-8:25 Introduction by Tom Bowles, NM Science Advisor
8:25-8:30 Introduction of Keynote Speaker by Garrett Kenyon
8:30-9:10 David Van Essen (Washington University & Society for Neuroscience President)
Neural Circuits and Neural Computation: A Systems-level Perspective
9:10-9:50 Apostolos Georgopoulos (University of Minnesota)
Encoding Information in Neurons, Encoding it from Neuronal Populations
9:50-10:00 Poster Previews
10:00-10:15 Break
10:15-10:55 Rob de Ruyter van Steveninck (University of Indiana)
Insect Vision: Physical Constraints in Natural Information Processing
10:55-11:35 William Bialek (Princeton University)
Searching for Principles, and Letting the Data Guide Us
11:35-12:00 Grand Challenges Panel Discussion
Session 2: Theory, Modeling, and Applications I
Session Chair: Henry Abarbanel
1:30-2:10 Henry Abarbanel (University of California at San Diego)
The Threefold Way in Computational Neuroscience
2:10-2:50 Roger Traub (SUNY Downstate Medical Center)
The Critical Role of Electrical Coupling in the Generation of Population Oscillations in Neocortex, at Frequencies from <1 Hz to >100 Hz
2:50-3:30 Reza Shadmehr (Johns Hopkins University)
Internal Models, Adaptation, and the Timescales of Memory
3:30-3:45 Break
3:45-4:25 Sebastian Seung (Massachusetts Institute of Technology)
Toward a New Science of Connectomics
4:25-5:05 Kenneth Miller (Columbia University)
Understanding Cortical Circuits
5:05-5:30 Grand Challenges Panel Discussion
Banquet
7:30-9:30 Banquet
8:30-9:10 C. Randy Gallistel (Rutgers University)
Memory and the Computational Brain
Tuesday, February 20, 2007
Session 3: Theory, Modeling, and Applications II
Session Chair: John Hopfield
8:15-8:20 Introduction of Keynote Speaker
8:20-9:00 John Hopfield (Princeton University & American Physical Society President)
Assorted Problems
9:00-9:40 Yann LeCun (New York University)
Can a Single Learning Algorithm Build the Visual Cortex? The Challenges of Training an Artificial Vision System
9:40-10:20 Steven W. Zucker (Yale University)
Principles of Computational Abstraction for Visual Cortex
10:20-10:35 Break
10:35-10:55 Poster Previews
10:55-11:35 David McCormick (University of California at Berkeley)
Cortical Networks: From Subcellular Processes to Models
11:35-12:00 Grand Challenges Panel Discussion
Session 4: Measurement and Analysis II
Session Chair: Yoshio Okada
1:30-2:10 Gilles Laurent (California Institute of Technology)
Circuit Dynamics, Synaptic Learning Rules and Computation in an Olfactory System
2:10-2:50 E.J. Chichilnisky (Salk Institute)
Ensemble Coding of Visual Motion in the Primate Retina and Its Readout in the Brain
2:50-3:30 Israel Nelken (Hebrew University)
Grand Challenges in Auditory Research
3:30-3:45 Break
3:45-4:25 Charles Gray (University of Montana)
Distributed Processing in the Cerebral Cortex: How Can We Get the Data to Ask the Questions?
4:25-5:05 Jack Gallant (University of California at Berkeley)
Discovering the Neural Code for Vision
5:05-5:30 Grand Challenges Panel Discussion
Posters and Reception
7:00-8:30 Reception
7:30-10:30 Contributed Posters
Wednesday, February 21, 2007
Session 5: Theory, Modeling, and Applications III
Session Chair: John George and Ilya Nemenman
8:00-8:40 Yang Dan (University of California at Berkeley)
Visual Cortical Coding of Natural Stimuli
8:40-9:20 Guenter W. Gross (University of North Texas)
Nerve Cell Networks on Microelectrode Arrays: Platforms for Investigations of Neuronal Dynamics Underlying Information Processing
9:20-10:00 Kwabena Boahen (Stanford University)
Neurogrid: Emulating a Million Neurons in the Cortex
10:00-10:20 Break
10:20-11:00 Sara Solla (Northwestern University)
Decoding Neural Signals for the Control of Movement
11:00-11:40 Charles F. Stevens (Salk Institute)
Design Principles that Endow the Brain with a Scalable Architecture
11:40-12:05 Grand Challenges Panel Discussion
12:00-12:05 Main Workshop Adjourns
Session 6: Neuroscience in New Mexico
Session Chair: Chris Wood
1:30-1:40 Rob Duncan (Director of Institute for Advanced Studies)
1:40-1:50 Dan Savage (University of New Mexico)
1:50-2:00 Claudia Tesche (University of New Mexico)
Imaging Associative Neural Plasticity in Man
2:00-2:10 Elba Serrano (New Mexico State University)
2:10-2:20 Chaouki Abdallah (University of New Mexico)
2:20-2:35 Yoshio Okada (BRAIN)
Neuroimaging Research at the BRAIN Imaging Center
2:20-2:35 Yoshio Okada (BRAIN)
Origins of Macroscopic Electrical and Magnetic Signals from the Brain: Theoretical and Experimental Analyses
2:35-2:45 Wolfgang Mueller (BRAIN)
Presynaptic Plasticity of Vesicle Turnover and Short-term Plasticity
2:45-3:00 Break
3:00-3:10 John Rasure (MIND)
Overview of the MIND Research Network
3:10-3:20 Michael Weisend (MIND)
The Challenge of Pooling Neuroimaging Data across Different Laboratories: A Pilot Investigation with MEG
3:20-3:30 Vince Clark (MIND)
Brain Networks in Learning and Mental Illness
3:30-3:40 Rex Jung (MIND/Sandia)
NS2: Neuroscience for National Security
3:40-3:50 Danny Rintoul (Sandia)
Big Computing & Neuroscience: Where is the low-hanging fruit?
3:50-4:00 Ann Speed (Sandia)
4:00-4:15 Break
4:15-4:25 David Sharp (LANL)
Neuroscience at Los Alamos
4:25-4:35 John George (LANL)
Dynamic Mapping and Imaging of Neural Population Function
4:35-4:45 Garrett Kenyon (LANL)
Analysis of multiunit data: Getting more from each spike
4:45-5:00 Chris Wood (Santa Fe Institute)
Poster Session
1 Andrea Benucci (Smith-Kettlewell Eye Research Institute)
Persistent Population Activity in Primary Visual Cortex
2 Tim Blanche (UC Berkeley, Redwood Center for Theoretical Neuroscience)
Spike Timing Precision and the Influence of Cortical Dynamics
4 Garrett Kenyon (LANL, P21)
Evidence for Extreme Synergy in a Retinal Code
5 Sean Escola (Columbia University)
HMMs Applied Toward the Inference of Neural States and the Improved Estimation
of Linear RFs
6 Kilian Koepsell (UC Berkeley)
Retinal Oscillations Carry Visual Information to Cortex
7 Stephanie Palmer (Princeton University)
Predictive Information in Simultaneously Recorded Retinal Ganglion Cells
8 Greg Schwartz (Princeton University)
Synchronized Firing among Retinal Ganglion Cells Signals Motion Reversal
9 Aonan Tang (Indiana University, Bloomington)
A Second-order Maximum Entropy Model Predicts Correlated Network States, but Not Their Evolution Over Time
10 Ilya Nemenman (LANL)
Neural Coding of a Natural Stimulus Ensemble: Uncovering Information at Sub–millisecond Resolution
11 Florin Chirila (University of West Virginia, School of Medicine)
Development of Temporal Delayed Sensitivity In MSO Neurons
12 Michael Ham (University of North Texas)
Comparison of Stimulation Efficacy in Vitro Using Naturally and Artificially Generated Patterns
13 Joseph Jun (Princeton University)
Development of Neural Circuitry for Precise Temporal Sequences Through Spontaneous Activity, Axon Remodeling, and Synaptic Plasticity
15 Olaf H.-U. Schroeder (NeuroProof GmbH)
Dynamics of Neuronal Microcircuits – Recent Empirical Observations
16 Nachum Ulanovsky (University of Maryland)
The Comparative Challenge to Neural Computation, and the Need to Find Across-species Invariants: A Case Study of Hippocampal Activity in Freely-moving Echolocating Bats
17 Rhonda Dzakpasu (University of Michigan)
Causal Entropy as a Measure of Temporal Relationships and Direction of Information Transfer in Neural Systems
18 Robert Haslinger (Harvard-Martinos Center for Biological Imaging)
The Computational Structure of Spike Trains
19 Christopher Honey (Indiana University, Bloomington)
The Network Structure of Cerebral Cortex Influences Functional Connectivity Patterns on Multiple Time Scales
20 James Rebesco (Northwestern University)
Analysis of Functional Connectivity in Large-scale Network Models
21 Luis Bettencourt (LANT, T7)
Identification and Dynamics of Functional Cell Modules in Dissociated Neural Networks
22 Stephanie Jones (MGH Martinos Center For Biomedical Imaging)
Neural Correlates of Tactile Detection: Combined MEG and Biophysically Based Computational Modeling Study
23 Krastan Blagoev (LANL, T10)
Stimulus Induced Changes in the Intra-cortical Magnetic Field: Theory and Detection Using MR Spectroscopy
24 John George (LANL, P21)
Lateral Interactions in Outer Retina Disclosed by High Resolution Dynamic Optical Imaging of Neural Activation
25 H. Jeremy Bockholt (MIND)
The MIND Clinical Imaging Consortium as a Case Study for Novel Neuroinformatics Tools to Support Multi-institutional Heterogeneous Psychiatric Research Studies
27 Wolfgang Müller (University of New Mexico)
Dynamics of Vesicle Turnover in Mature Presynaptic Terminals in Acute Brain Slice
28 Jeremy Lewi (Georgia Tech)
An Efficient Algorithm for Sequential Optimal Design of Neurophysiology Experiments
29 John Pearson (LANL)
The Principle of Corresponding States for Multimeric Ion Channels
30 Thimo Rohlf (Santa Fe Institute)
Topological Self-organization and Critical Dynamics of Input-driven Neural Threshold Networks
31 Per Danzl (UC Santa Barbara)
Partial Phase Synchronization of Uncoupled Populations: An Application of Phase Reduction Methods
32 Marc’Aurelio Ranzato (Courant Institute – New York University)
Learning Sparse and Invariant Features Hierarchies
33 Dirk B. Walther (Beckman Institute, University of Illinois at Urbana-Champaign)
Modeling Attention to Proto-objects in Natural Scenes
34 Greg Stephens (Princeton University)
Dimensionality and Dynamics in the Motor Behavior of C. Elegans
35 Bruce Wheeler (University of Illinois)
Building a Brain on a Chip
36 Gennady Berman (LANL, T13)
Finding Correlations Using Frequent Patterns Analysis: Application to Neuroimaging Data