A network model for learning-induced changes in odor representation in the antennal lobe

Abstract : The antennal lobe (AL) is the insect homolog of the olfactory bulb in mammals. As such, it is the first processing station in the insect olfactory system. It has been shown previously that odorant representations change during associative odor learning, but contradictory findings have also been published. We recorded Ca2+-activity of uniglomerular projection neurons (PNs) in the AL of the honeybee Apis mellifera during differential olfactory conditioning. Our results indicate that the activity pattern of PNs in response to odorants can change for the conditioned odor, for the unconditioned odor and for control odors which were not presented during conditioning. We designed a computational model of the glomerular network that can explain the apparent contradiction between the findings we present here and previously reported results.
Type de document :
Communication dans un congrès
Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France
Liste complète des métadonnées

Littérature citée [7 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-00331593
Contributeur : Laurent Perrinet <>
Soumis le : vendredi 17 octobre 2008 - 10:47:36
Dernière modification le : samedi 18 octobre 2008 - 09:30:55
Document(s) archivé(s) le : lundi 7 juin 2010 - 20:31:04

Fichier

NEUROCOMP2008_0052.pdf
Accord explicite pour ce dépôt

Identifiants

  • HAL Id : hal-00331593, version 1

Collections

Citation

Michael Schmuker, Marcel Weidert, Randolf Menzel. A network model for learning-induced changes in odor representation in the antennal lobe. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. 〈hal-00331593〉

Partager

Métriques

Consultations de la notice

150

Téléchargements de fichiers

144