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.
Support the show to get full episodes, full archive, and join the Discord community. Ann Kennedy is Associate Professor at Scripps Research Institute and...
Support the show to get full episodes and join the Discord community. Check out my short video series about what's missing in AI and...
Support the show to get full episodes and join the Discord community. Mac and I discuss his systems level approach to understanding brains, and...
