Schedule
Workshop Schedule
Computational Approaches for Time-Varying Neural Dynamics
Morning Session
- Opening (9:20-9:30)
- Dani Bassett (9:30-9:55)
- Brain network dynamics and control
- Steven Brunton (9:55-10:20)
- Learning Interpretable dynamics and latent states
- Noga Mudrik (10:20-10:45)
- Understanding multi-regional non-stationary neural dynamics via decomposed linear systems
- Shaul Druckmann (10:45-11:10)
- Robustness, dimension specific computation and multi-regional interactions in a short term memory task
- Camille Rullan (11:10-11:35)
- Neural and behavioral signatures of inference over time
- Hadas Ben-Esti (11:35-12:00)
- Geometrical analysis of the dynamics of functional connectivity during learning
- Discussion (12:00-12:30)
Behavior, Internal States, and Experimental Approaches to Understand Neural Dynamics
Afternoon Session
- Vivek Jayaraman (3:30-3:55)
- Tight theory-experiment loops to understand navigational neural dynamics
- Manuel Zimmer (3:55-4:20)
- Neuronal principles underlying the hierarchical organization of animal behavior
- Steve Flavell (4:20-4:45)
- Computational models that link brain-wide activity and behavior in the roundworm C. elegans
- Emily Oby (4:45-5:10)
- Brain-computer interfaces for studying neural dynamics
- Kay Tye (5:10-5:35)
- Neural computations for social homeostasis
- Aditya Nair (5:35-6:00)
- The neural computation of affective states
- Cori Bargmann (6:00-6:25)
- Organizing behaviors across timescales
- Discussion (6:25-6:45)