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.
Speakers include:
Aman Bhargava
Chen Graduate Fellow, Thompson and Adolphs labs
Talk Title: Using Large Language Models to Discover Latent Factors in Psychopathology
Steven Bulfer
Graduate Student, MICS/Emami lab
Talk Title: Machine Learning for Enhancing Neural Feature Extraction in Brain-Machine Interfaces
Geeling Chau
Graduate Student, Yue lab
Talk Title:Transformers for Neural Time Series Decoding and Analysis: From Large-scale Pretraining to Insight
Adi Nair
Postdoc, Anderson lab
Talk Title: Creating multimodal large language models for next generation behavior analysis platforms
Bahareh Tolooshams
Postdoc, Anandkumar lab
Talk Title: Sparse autoencoders for gaining mechanistic interpretability of neural signals
Varun Wadia
Postdoc, Rutishauser and Adolphs labs
Talk Title: From Deep Neural Networks to real neural networks: insights about visual object perception