Guilherme Ost ; Patricia Reynaud-Bouret - Neural Coding as a Statistical Testing Problem

mna:10002 - Mathematical Neuroscience and Applications, December 29, 2023, Volume 3 - https://doi.org/10.46298/mna.10002
Neural Coding as a Statistical Testing ProblemArticle

Authors: Guilherme Ost ; Patricia Reynaud-Bouret

    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.


    Volume: Volume 3
    Published on: December 29, 2023
    Accepted on: November 14, 2023
    Submitted on: September 5, 2022
    Keywords: Mathematics - Statistics Theory,Quantitative Biology - Neurons and Cognition
    Funding:
      Source : OpenAIRE Graph
    • 3IA Côte d'Azur; Funder: French National Research Agency (ANR); Code: ANR-19-P3IA-0002
    • Challenges in Mathematics emerging from Neurosciences; Funder: French National Research Agency (ANR); Code: ANR-19-CE40-0024

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