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.
In this second part of my conversion with Paul (listen to the first part), we continue our discussion about how to understand brains as...
Follow Julie on Twitter: @julie_grollier. Check out Julie’s website, with links to papers and lots of good summaries of things we discuss, like Memristors,...
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