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Thursday, October 19, 2023
9:00 - 9:05 | Brent Doiron, PhD (University of Chicago) | Introduction
FROM CONNECTIVITY TO BEHAVIOR
9:05 - 9:40 am | Kenneth Latimer, PhD (The Grossman Center / University of Chicago)
"Analyzing experience-dependent behavior during learning in rats performing a maze task"
9:40 - 10:15 am | Alex Kunin, PhD (Josic Lab / University of Houston)
"Hierarchal Modularity in the Drosophila Connectome"
10:15 - 10:45 am | Coffee break
Structure - Dynamic Relations in Recurrent Networks
10:45 - 11:20 am | Alex Reyes, PhD (New York University)
"Mathematical description of topographically-organized networks and their dynamics"
11:20 - 11:55 am | Gengshuo Tian (Doiron Lab / University of Chicago)
"Relating network heterogeneity to the dimension of population covariability"
11:55 am - 12:30 pm | Shirui Chen (Shea-Brown Lab / University of Washington)
"Expressive probabilistic sampling in recurrent neural networks"
12:30 pm - 1:45 pm | Lunch
The Neuronal Basis of Working Memory
1:50 - 2:25 pm | Heather Cihak (Kilpatrick Lab / University of Colorado)
"Synaptic mechanisms of working memory stability in neural fields"
2:25 - 3:00 pm | Jaime de la Rocha, PhD (Institute for Biomedical Research August Pi i Sunyer - IDIBAPS)
"The dynamics of evidence accumulation in expectation-guided perceptual decisions"
Friday, October 20, 2023
Waves and Rhythms in the Brain
9:00 - 9:35 am | Jason Middleton, PhD (Louisiana State University)
"Theta and Beta LFP rhythm interactions in the GPi of Parkinson’s Patients"
9:35 - 10:10 am | Sage Shaw (Kilpatrick Lab / University of Colorado)
"Wave response theory for neural representations of apparent motion"
10:10 - 10:45 am | Coffee break
Learning in Recurrent Neural Networks
10:45 - 11:20 am | Nimrod Sherf, PhD (Josic Lab / University of Colorado)
"From Chaos to Coherence: High-Order Correlations Reshape RNNs Dynamics"
11:20 - 11:55 am | Helena Liu (Shea-Brown Lab / University of Washington)
"Leveraging deep learning theory to probe learning and generalization in biological recurrent neural networks"
11:55 am - 1:45 pm | Lunch
Balancing Excitation and Inhibition in Cortex
1:50 - 2:25 pm | Peijia Yu (Doiron Lab / University of Chicago)
"Macroscale balance and microscale imbalance in mouse visual cortex"
2:25 - 3:00 pm | Alan Akil, PhD (Josic Lab / University of Houston)
"Balanced networks under spike-time dependent plasticity"
3:00 - 3:35 pm | Anne-Marie Oswald, PhD (University of Chicago)
"The synaptic dynamics of olfactory learning and behavior"