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BI 032 Rafal Bogacz: Back-Propagation in Brains

BI 032 Rafal Bogacz: Back-Propagation in Brains

FromBrain Inspired


BI 032 Rafal Bogacz: Back-Propagation in Brains

FromBrain Inspired

ratings:
Length:
76 minutes
Released:
Apr 19, 2019
Format:
Podcast episode

Description

Show notes:



Visit Rafal’s Lab Website. Rafal's papers we discuss: Theories of Error Back-Propagation in the Brain. An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity.A tutorial on the free-energy framework for modelling perception and learning.Check out Episode 9 with Blake Richards about how apical dendrites could do back-prop. The Randall O’Reilly early paper describing biologically plausible back propagation: O'Reilly, R.C. (1996). Biologically Plausible Error-driven Learning using Local Activation Differences: The Generalized Recirculation Algorithm. Neural Computation, 8, 895-938.
Released:
Apr 19, 2019
Format:
Podcast episode

Titles in the series (100)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.