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.
In this first part of our conversation, Paul and I discuss his approach to understanding how the brain (and intelligence) works. Namely, he believes...
Support the show to get full episodes and join the Discord community. Henry and I discuss why he thinks neuroscience is in a crisis...
Nicole and I discuss how a signature for visual memory can be coded among the same population of neurons known to encode object identity,...
