Chen Institute Workshop on AI for Neuro

Friday, December 6
3PM – 5PM
Chen 100

The Chen Institute for Neuroscience at Caltech is sponsoring its next workshop on AI for Neuro: How modern AI technologies enable advances in Neuroscience. This workshop will introduce the ways that AI can be used in neuroscience, the potential it has and the pitfalls. Talks will be ‘vignettes' with a problem statement, outline of the challenge, the approach taken, high-level introduction to the particular AI/ML methodology/tool that was used, and the results; followed by Q&A. 

The Chen Institute workshop series is designed to introduce non-neuroscientists to some of the challenging problems facing our understanding of brain function, as well as to bring them up to date on the state-of-the-art knowledge and methods in different sub-fields of neuroscience. The goal of these workshops is to promote discussion and to forge new interactions and cross-divisional collaborations at Caltech.

The workshop will be moderated by Ueli Rutishauser and Pietro Perona.

Aman Bhargava
Chen Graduate Fellow, Thompson and Adolphs labs
Talk Title: Using Large Language Models to Discover Latent Factors in Psychopathology

Geeling Chau
Graduate Student, Yue lab
Technology: transformers for time series/ephys/BCI

Adi Nair
Postdoc, Anderson lab
Technology: LLMs to interrogate models

Bahareh Tolooshams
Postdoc, Anandkumar lab
Talk Title: Sparse autoencoders for gaining mechanistic interpretability of neural signals

Varun Wadia
Postdoc, Rutishauser and Adolphs labs
Technology: Vision DNNs, use to define tuning curves of single neurons