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Scaling neural data science - Liam Paninski

Liam Paninski
June 3, 2021 - 12:00pm to 1:00pm

Wu Tsai Neurosciences Institute Seminar Series Presents

Liam Paninski, PhD 

Associate Professor-Statistics & Neuroscience, Columbia University

Host: E.J. Chichilnisky


Recent experimental breakthroughs (e.g., in calcium and voltage imaging, electron microscopy, multi-electrode array recording, behavioral video monitoring, in situ sequencing, and multiplexed optogenetic stimulation) have revolutionized neuroscience. In turn, this explosive growth in experimental neurotechnology has opened exciting new opportunities for neural data science, which aims to accelerate the experiment-analysis-theory cycle to generate new neuroscientific insights. I will discuss our recent efforts to advance this field, largely drawing on our experiences with the International Brain Laboratory, a consortium of 22 labs aiming to develop a standardized brain-wide map of neural activity underlying decision behavior in the mouse. Looking forward, I'll also discuss some significant remaining bottlenecks on the accessibility, robustness, reproducibility, and scalability of existing neural data analysis tools.

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Wu Tsai Neurosciences Institute
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