In this second part of my discussion with Wolfgang (check out the first part), we talk about spiking neural networks in general, principles of brain computation he finds promising for implementing better network models, and we quickly overview some of his recent work on using these principles to build models with biologically plausible learning mechanisms, a spiking network analog of the well-known LSTM recurrent network, and meta-learning using reservoir computing.
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Matt and I discuss how cognition and behavior drifts over the course of minutes and hours, and how global brain activity drifts with it....
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...
