Title: Bridging Theoretical Neuroscience and Neural Data Science with Simple Models
Speaker: James Fitzgerald, Northwestern University
Abstract: Neuroscience is entering a data-rich era that requires computational approaches and opens exciting new possibilities for theory building. Here I will describe how my research group couples neural data science and abstract theoretical modeling to build interpretable models of diverse neural systems. In my first illustrative example, I’ll explain our efforts to uncover synaptic plasticity mechanisms that allow flies to learn probabilistic reward associations and direct decision making. I’ll then shift to larval zebrafish and whole-brain imaging to explain how we build and analyze neural network models of sensorimotor processing and behavior.
Zoom: https://northwestern.zoom.us/j/91721651217
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Cost: Free