Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 Note: We have had some feedback that the audio is a bit low on this for some folks - we have fixed this in the podcast version here: https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/DR--JEFF-BECK---THE-BAYESIAN-BRAIN-e2akqa1 Dr. Jeff Beck is a computational neuroscientist studying probabilistic reasoning (decision making under uncertainty) in humans and animals with emphasis on neural representations of uncertainty and cortical implementations of probabilistic inference and learning. His line of research incorporates information theoretic and hierarchical statistical analysis of neural and behavioural data as well as reinforcement learning and active inference. https://www.linkedin.com/in/jeff-beck-6b5085196/ https://scholar.google.com/citations?user=RJE1lmUAAAAJ&hl=en Interviewer: Dr. Tim Scarfe TOC 00:00:00 Intro 00:00:51 Bayesian / Knowledge 00:14:57 Active inference 00:18:58 Mediation 00:23:44 Philosophy of mind / science 00:29:25 Optimisation 00:42:54 Emergence 00:56:38 Steering emergent systems 01:04:31 Work plan 01:06:06 Representations/Core knowledge #activeinference