7:30-9:00 Breakfast (Blackford)
Session 1: All-Brain Challenge #1 (Chaired by Alex Koulakov)
8:55 Opening remarks
9:00 Jorge Gamez, California Institute of Technology
Cognitive spatial representations in human posterior parietal cortex
9:30 Takuya Ito, Yale University
Multi-task representations in human cortex transform along a sensory-to-motor hierarchy
10:00 Christopher Langdon, Cold Spring Harbor Laboratory
Latent circuit inference from heterogeneous neural responses during cognitive tasks
10:30 Break
Session 2: All-Brain Challenge #2 (Chaired by Khristina Samoilova)
11:00 Hsin-Hung Li, New York University
The neural code of working memory in human cortex: uncertainty and temporal dynamics
11:30 Rich Pang, Princeton University
Inferring neural codes from natural behavior in Drosophila social communication
12:00 Lunch
Session 3: Geometry of Neural Population Codes (Chaired by Preston Jiang)
1:30 Matthew Farrell, Harvard University
How Many Objects can be Linearly Classified Under All Possible Views?
2:00 Luciano Dyballa, Yale University
Neural manifolds reveal encoding architectures in mouse visual system
2:30 Valeria Fascianelli, Columbia University
Representational geometry predicts behavioral differences between two monkeys
3:00 Teddy Einstein, University of Pittsburgh
Walks with jumps: a Model for Spike Train Dynamics with Hyperbolic Geometry
3:30 Break
Session 4: Theory of Neural Computation (Chaired by Lindsey S. Brown)
4:00 Rainer Engelken, Columbia University
A time-resolved theory of information encoding in recurrent neural networks
4:30 Naoki Hiratani , Harvard University
Stability and scalability of node perturbation learning
5:00 Patrick Burauel, California Institute of Technology
Macro-Level Causal Feature Learning from Micro-Level Observations
5:30 Poster Session Reception (Nichols Biondi)*
7:00 Dinner
*Poster Titles
Yanliang Shi, Cold Spring Harbor Laboratory
A framework of large-scale functional dynamics across mouse cortex based on the biological connectome.
Lindsey S. Brown, Princeton University
Models for accumulation of evidence through sequences in a navigation-based, decision-making task
Yunliang Zang, Brandeis University
Neuronal Structure Enhances Robustness to “Noise” Perturbations
Cina Aghamohammadi, Cold Spring Harbor Laboratory
Decision-Making Under Working Memory Limitations
Preston Jiang, University of Washington
Dynamic Predictive Coding: A New Model of Hierarchical Sequence Learning and Prediction in the Cortex
Nathan Buerkle, Yale University
Synaptic mechanisms of temporal pattern separation.
Dongyan Lin, Cold Spring Harbor Laboratory
Time cell encoding is decoupled from time perception in deep reinforcement learning agents
Pavel Tolmachev, Cold Spring Harbor Laboratory
A neural circuit mechanism for context-dependent selection via population dynamics
Khristina Samoilova, Cold Spring Harbor Laboratory
The order code in the olfactory bulb