A computational model of the amygdala revisits pavlovian learning

Frédéric Alexandre 1, 2, 3
1 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
Abstract : Recent technical advances in neuroscience give a more precise view of the inner circuitry of the amygdala and of its links within the medial temporal lobe, and with the basal ganglia and prefrontal cortex. We will summarize corresponding data and present the computational model of the amygdala that we have designed accordingly. This model proposes how the main features of pavlovian conditioning are computed in the amygdalar nuclei and how emotional values of stimuli are computed and exploited in other brain regions, for episodic and semantic learning and for instrumental conditioning.
Type de document :
Communication dans un congrès
Sino-French International Workshop on Computational Neuroscience, Jun 2014, Shanghai, China. 2014
Liste complète des métadonnées

https://hal.inria.fr/hal-01016188
Contributeur : Frédéric Alexandre <>
Soumis le : samedi 28 juin 2014 - 16:47:21
Dernière modification le : jeudi 11 janvier 2018 - 06:25:42

Identifiants

  • HAL Id : hal-01016188, version 1

Citation

Frédéric Alexandre. A computational model of the amygdala revisits pavlovian learning. Sino-French International Workshop on Computational Neuroscience, Jun 2014, Shanghai, China. 2014. 〈hal-01016188〉

Partager

Métriques

Consultations de la notice

270