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.
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Show notes: Ryota founded the company Araya. Follow him on twitter: @kanair. Integrated Information Theory. Pansychism. The paper we discuss: A unified strategy for...
Show notes: This is the first in a series of episodes where I interview keynote speakers at the upcoming Cognitive Computational Neuroscience conference in...