
In this first part of our conversation (here's the second part), Wolfgang and I discuss the state of theoretical and computational neuroscience, and how experimental results in neuroscience should guide theories and models to understand and explain how brains compute. We also discuss brain-machine interfaces, neuromorphics, and more. In the next part (here), we discuss principles of brain processing to inform and constrain theories of computations, and we briefly talk about some of his most recent work making spiking neural networks that incorporate some of these brain processing principles.
Support the show to get full episodes and join the Discord community Mark and Mazviita discuss the philosophy and science of mind, and how...
Steve and I discuss his long and productive career as a theoretical neuroscientist. We cover his tried and true method of taking a large...
Show notes: Follow Dean on Twitter: @deanbuonoVisit his lab website at UCLA.The review we discuss: The Neural Basis of Timing: Distributed Mechanisms for Diverse...