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.