2023 - T1B - WS2 - Networks of spiking neurons

Collection 2023 - T1B - WS2 - Networks of spiking neurons

Organizer(s) Galves, Antonio ; Löcherbach, Eva ; Pouzat, Christophe ; Vargas, Claudia D.

Date(s) 27/03/2023 - 31/03/2023

linked URL https://indico.math.cnrs.fr/event/7793/

13 20

Neural Coding as a Statistical Testing Problem

By Guilherme Ost

We take the testing perspective to understand what the minimal discrimination time between two stimuli is for different types of rate coding neurons. Our main goal is to describe the testing abilities of two different encoding systems: place cells and grid cells. In particular, we show, through the notion of adaptation, that a fixed place cell system can have a minimum discrimination time that decreases when the stimuli are further away. This could be a considerable advantage for the place cell system that could complement the grid cell system, which is able to discriminate stimuli that are much closer than place cells.

Information about the video

Date of recording 31/03/2023
Date of publication 31/03/2023
Institution IHP
Language English
Audience Researchers, Graduate Students, Students
Director(s) Alexandre Duplessis
Format MP4
Venue Amphitheater Hermite, IHP

Citation data

DOI 10.57987/IHP.2023.T1B.WS2.012
Cite this video Ost, Guilherme (31/03/2023). Neural Coding as a Statistical Testing Problem. IHP. Audiovisual resource. DOI: 10.57987/IHP.2023.T1B.WS2.012
URL https://dx.doi.org/10.57987/IHP.2023.T1B.WS2.012

Domain(s)

Statistics Theory

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