
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.
Ida and I discuss the current landscape of reinforcement learning in both natural and artificial intelligence, and how the old story of two RL...
Support the show to get full episodes and join the Discord community Steve and I discuss his book Conscious Mind, Resonant Brain: How Each...
Support the show to get full episodes and join the Discord community. Steve Byrnes is a physicist turned AGI safety researcher. He's concerned that...