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.
Show notes: Donders Institute for Brain, Cognition and Behaviour Artificial Cognitive Systems on Twitter. Artificial Cognitive Systems research group. The paper we discuss: Generative...
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Mentioned in the show: Mark’s lab The excellent blog he writes on Medium The paper we discuss: An ensemble code in medial prefrontal cortex...
