CNIB: Neural manifolds in deep networks and the brain, SueYeon Chung, Columbia University

SueYeon Chung (Center for Theoretical Neuroscience at Columbia University, New York) studies the intersection of computational neuroscience and deep learning. She is interested in understanding computation in the brain and
artificial neural networks by analyzing geometries underlying neural or feature representations and building deep neural network models guided by neuroscience.

Join the Computational Neuroscience Initiative Basel (FMI Basel) to learn about the last advances in computational neuroscience!

Each speaker will give a teaching workshop followed by a research talk. Full list of workshops available here.

To enable interactive discussions, the amount of participants will be limited for the workshops.
For additional information, please visit the CNIB website: www.fmi.ch/CNIB

January, 19th, 2021.

14h00: Neural manifolds in deep networks and the brain

SueYeon Chung, Columbia University

Full list of workshops Winter 2020-Spring 2021 available here.

19th of January, 2021. 2 PM.

Virtual event. Please register at https://www.fmi.ch/courses/comp.neuroscience/registrationForm.html