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.
Show notes: Máté’s Cambridge website.He’s part of the Computational Learning and Memory Group there.Here’s his webpage at Central European University.A review to introduce his...
Support the show to get full episodes and join the Discord community. Àlex Gómez-Marín heads The Behavior of Organisms Laboratory at the Institute of...
Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver...