7:30-9:00 Breakfast
Session 5: Deep Learning Approaches to the Brain (Chaired by Dongyan Lin)
9:00 Yusi Chen, Salk Institute
Hippocampus as a generative machine for predictive coding of future sequences
9:30 Farhad Pashakhanloo, Cold Spring Harbor Laboratory
Representational Drift in a Neural Network Model of the Piriform Cortex
10:00 Vishwa Goudar, New York University
Learning-to-learn emerges from learning to efficiently reuse the neural representation of the task schema
10:30 Break
Session 6: Dynamics in Recurrent Cortical Networks (Chaired by Yanliang Shi)
11:00 Gregory Handy, University of Chicago
Functional interactions of feature space and physical space in neocortical circuits
11:30 Nuttida Rungratsameetaweemana, Salk Institute
Internal noise promotes heterogeneous synaptic dynamics important for working memory in recurrent neural networks
12:00 Lunch & separate luncheon room for center director meeting (Bush Fireplace)
Session 7: Real-time Neural Data Analysis (Chaired by Pavel Tolmachev)
1:30 Ekaterina Morozova, Brandeis University
Training a predictive model of neuronal dynamics during the time frame of an experiment using ANN
2:00 Anne Draelos, Duke University
Real-time modeling with active interventions for high-dimensional neural data
2:30 Break
Session 8: Perceptual Decision Making (Chaired by Cina Aghamohammadi)
3:00 Ben Ballintyn, Brandeis University
Perceptual and decision processes underlying suboptimal behavior
3:30 Zeinab Mohammadi, Princeton University
Identifying internal states from decision-making behavior in mice
4:00 Break
Session 9: Outstanding Problems in Computational and Theoretical Neuroscience (moderated by Tatiana Engel)
4:20 Introductory remarks by Larry Abbott, Haim Sompolinsky and Terry Sejnowski moderated by Tatiana Engel.
5:00 General discussion
6:00 Cocktails (Blackford Patio)
6:45 Dinner