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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Megan and I discuss her work using metacognition as a way to study subjective awareness, or confidence. We talk about using computational and neural...
Image courtesy of Kendrick Kay: Brain art Show notes: Check out Kendrick’s lab website: CVN lab. Follow him on twitter: @cvnlab. The papers we...
