2023 DataSAI for Neuroscience Summer School
The Chen Institute Data Science and AI (DataSAI) for Neuroscience Summer School took place July 10 - 21, 2023 at Caltech. Over ten days, Caltech neuroscience graduate students and postdocs learned cutting-edge computational methods in data science and machine learning. Instructors included both Caltech and visiting faculty, postdocs and graduate students who research and build models at the forefront of computational neuroscience. Links to lecture recordings and course materials are available for each day.
Day 1, Monday, July 10, 2023: Regression, Overfitting and Ethics
Dr. Ralph Adolphs and Adi Nair
Day 2, Tuesday, July 11, 2023: Machine learning basics and modeling neural population activity using dynamical systems
Adi Nair and James Gornet
Day 3, Wednesday, July 12, 2023: Encoding & Decoding models of neural activity
Gabriel Rojas-Bowe and Maxwell Melin
Day 4, Thursday, July 13, 2023: Getting to Square One: Adapting Your Recordings for Big Data Techniques
Dr. Daniel Wagenaar and Frank Lanfranchi
Day 5, Friday, July 14, 2023: Linear and non-linear dimensionality reduction techniques for high-dimensional data
Tara Chari
Day 6, Monday, July 17, 2023: Understanding generative models for large-scale datasets
Dr. Liam Paninski (virtual) and Dr. Matt Whiteway
Day 7, Tuesday, July 18, 2023: Understanding behavior using machine learning and Bring Your Own Data Day
Dr. Daniel Wagenaar, Frank Lanfranchi, Adi Nair and Tarun Sharma
Day 8, Wednesday, July 19, 2023: Latent variable dynamical system models of neural population dynamics
Dr. Maryam Shanechi
Day 9, Thursday, July 20, 2023: Understanding causality and building causal models for observational data
Dr. Frederick Eberhardt and Iman Wahle
Day 10, Friday, July 21, 2023: Deep learning for neural activity: Transformers and autoencoders
Dr. Chethan Pandarinath and Domenick Mifsud