Published January 26, 2024
| Version v1
Publication
Gain modulation of actions selection without synaptic relearning
- Others:
- Laboratoire Traitement du Signal et de l'Image (LTSI) ; Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)
- Mathématiques pour les Neurosciences (MATHNEURO) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Laboratoire Jean Alexandre Dieudonné (LJAD) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Bases, Corpus, Langage (UMR 7320 - UCA / CNRS) (BCL) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
Description
Adaptation of behavior to a changing environment requires the brain to change the probability of selecting actions based on their reward or punishment. The present study proposes a simple neural mechanism of gain modulation that makes possible rapid changes in the probability of selecting actions after different levels of negative feedback. The effects of gain modulation on action selection are studied in a network of neuronal populations of excitatory neurons regulated by inhibition. Results show that neuronal gain can embed memories of past experiences without modification of synaptic efficacies, in complement to synaptic plasticity.
Additional details
- URL
- https://hal.science/hal-04418804
- URN
- urn:oai:HAL:hal-04418804v1
- Origin repository
- UNICA