Bayesian approach to behavior mapping and complex decision, the Drosophila larva

Nervous systems have the ability to select appropriate actions in response to stimulations. Nevertheless, there remain large knowledge gaps in linking neural architecture to behavioral response. To understand decision-making, targeting individual neurons and having a simple read-out of their activit...

Full description

Saved in:
Bibliographic Details
Published in:Biophysical journal 2022-02, Vol.121 (3), p.153a-153a
Main Authors: Barré, Chloé, Blanc, Alexandre, Jovanic, Tihana, Christian, Vestergaard L., Masson, Jean-Baptiste
Format: Article
Language:English
Subjects:
Cognitive Sciences
Life Sciences
Neurobiology
Neurons and Cognition
Psychology and behavior
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Nervous systems have the ability to select appropriate actions in response to stimulations. Nevertheless, there remain large knowledge gaps in linking neural architecture to behavioral response. To understand decision-making, targeting individual neurons and having a simple read-out of their activity is crucial, and Drosophila larvae are ideal organisms for such an approach. To explore the relationship between neural network dynamics and decision-making in Drosophila larvae, we mix Bayesian induction techniques and physical modeling on biological data.
ISSN:0006-3495
1542-0086
DOI:10.1016/j.bpj.2021.11.1956