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On today's episode, we're joined by Dr. Terrence Sejnowski, Francis Crick Chair, head of the Computational Neurobiology Laboratory at the Salk Institute for Biological Studies and faculty member at UC San Diego.
Terry is also a founding researcher in the field of computational neuroscience, as well as the annual Telluride Neuromorphic Cognition Engineering Workshop. In our conversation, we dive deep into the world of spiking neural networks, discussing brain architecture, the relationship of neuroscience to machine learning, and ways to make NN's more efficient through spiking. Terry also gives us some insight into hardware used in this field, characterizes the major research problems being undertaken in this field, and the future of spiking networks.
Paper: Simple framework for constructing functional spiking recurrent neural networks
Reinforcement Learning: An Introduction
Intro to Neuromorphic Computing
2019 Telluride Neuromorphic Cognition Engineering Workshop
Telluride Neuromorphic Cognition Engineering Workshop
Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar
