BI 038 Máté Lengyel: Probabilistic Perception and Learning

BI 038 Máté Lengyel: Probabilistic Perception and Learning

Brain Inspired

BI 038 Máté Lengyel: Probabilistic Perception and Learning

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

December 09, 2019 • 01:26:18

BI 055 Thomas Naselaris: Seeing Versus Imagining

Thomas and I talk about what happens in the brain’s visual system when you see something versus imagine it. He uses generative encoding and...

Episode 0

April 26, 2021 • 01:27:26

Episode Cover

BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading

Randal, Ken, and I discuss a host of topics around the future goal of uploading our minds into non-brain systems, to continue our mental...

Episode 0

September 08, 2019 • 01:37:12

Episode Cover

BI 046 David Poeppel: From Sounds to Meanings

Support the Podcast David and I talk about his work to understand how sound waves floating in the air get transformed into meaningful concepts...