Associate Professor at Scripps Research, La Jolla, CA
Lab home: kennedylab.orgRecent new technologies like multi-unit electrophysiology and calcium imaging have made it possible to simultaneously record from hundreds of neurons in a behaving animal. But what can we learn from all of these data? This tutorial will consist of a series of hands-on workshops introducing common data analysis methods from neuroscience. Topics will include toolboxes for processing raw data, event-triggered analyses, neural encoding and decoding, generalized linear models, and dimensionality reduction/latent variable models. Some familiarity with Matlab or Python is recommended to follow along, but not required. Students are welcome to bring or share their own datasets, or existing calcium imaging data may be provided.