---------- Forwarded message ---------
From: Theoretical Neuroscience <theoretical.neuroscience.seminar@gmail.com>
Date: Sun, Nov 10, 2024 at 10:53 AM
Subject: [seminar.wwtns] World wide VVTNS series: Wednesday 13, 2024, at 11:00 am EST| Friedemann Zenke, University of Basel
To: <seminar.wwtns@listes.u-paris.fr>


VVTNS.png
https://www.wwtns.online - on twitter: wwtns@TheoreticalWide

You are cordially invited to the lecture given by 

Friedemann Zenke,  University of  Basel

 on the topic of 

Learning invariant representations through prediction

The lecture will be held on zoom on Wednesday, November 13, 2024, at 11:00 am EST     

To receive the zoom link: https://www.wwtns.online/register-page


Abstract: How do synapses in the middle of the brain know how to adjust their weight to advance a behavioral goal (i.e. learning)? This is referred to as the synaptic ‘credit assignment problem’. A large variety of synaptic learning rules have been proposed, mainly in the context of artificial neural networks. The most powerful learning rules (e.g. back-propagation of error) are thought to be biologically implausible, whereas the widely studied biological learning rules (Hebbian) are insufficient for goal-directed learning. I will describe ongoing work focused on understanding synaptic learning rules in the cortex in a brain-computer interface task.

About VVTNS : Launched as the World Wide  Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, held on Wednesdays at 11 am ET,  are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.