BI 038 Máté Lengyel: Probabilistic Perception and Learning

Brain Inspired

Jun 19 2019 | NaN

00:00 / NaN

Show Notes

Show notes:

Máté’s Cambridge website.
He’s part of the Computational Learning and Memory Group there.
Here’s his webpage at Central European University.
A review to introduce his subsequent work:
- Statistically optimal perception and learning: from behavior to neural representations.
Related recent talks:
- Bayesian models of perception, cognition and learning – CCCN 2017.
- Sampling: coding, dynamics, and computation in the cortex (Cosyne 2018).

Other Episodes

Episode 0

November 19, 2025 • 01:43:30

BI 225 Henk De Regt: Understanding in Machines and Humans

Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver...

Episode 0

March 04, 2020 • 01:57:16

BI 062 Stefan Leijnen: Creativity and Constraint

Stefan and I discuss creativity and constraint in artificial and biological intelligence. We talk about his Asimov Institute and its goal of artificial creativity...

Episode 0

February 18, 2021 • 01:32:38

BI 098 Brian Christian: The Alignment Problem

Brian and I discuss a range of topics related to his latest book, The Alignment Problem: Machine Learning and Human Values. The alignment problem...