54 min listen
BI 035 Tim Behrens: Abstracting & Generalizing Knowledge, & Human Replay
FromBrain Inspired
ratings:
Length:
71 minutes
Released:
May 20, 2019
Format:
Podcast episode
Description
Show notes:
This is the first in a series of episodes where I interview keynote speakers at the upcoming Cognitive Computational Neuroscience conference in September in Berlin. Thomas Naseralis summarizes the origins and vision of the CCN. Tim’s Neuroscience homepage: The papers we discuss: Generalisation of structural knowledge in the hippocampal-entorhinal system (referred to in the podcast at "The Tolman Eichenbaum Machine”) Human replay spontaneously reorganizes experience. (In press at Cell - below is an abstract for it from COSYNE 2018) Inference in replay through factorized representations.
This is the first in a series of episodes where I interview keynote speakers at the upcoming Cognitive Computational Neuroscience conference in September in Berlin. Thomas Naseralis summarizes the origins and vision of the CCN. Tim’s Neuroscience homepage: The papers we discuss: Generalisation of structural knowledge in the hippocampal-entorhinal system (referred to in the podcast at "The Tolman Eichenbaum Machine”) Human replay spontaneously reorganizes experience. (In press at Cell - below is an abstract for it from COSYNE 2018) Inference in replay through factorized representations.
Released:
May 20, 2019
Format:
Podcast episode
Titles in the series (100)
BI 008 Joshua Glaser: Supervised ML for Neuroscience: Mentioned in the show The two papers we discuss: The Roles of Supervised Machine Learning in Systems Neuroscience Machine learning for neural decoding Kording lab, where Josh did his PhD work by Brain Inspired