STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing

Petia Koprinkova-Hristova
  • Fonction : Auteur
  • PersonId : 1033518
Nadejda Bocheva
  • Fonction : Auteur
  • PersonId : 1033521
Simona Nedelcheva
  • Fonction : Auteur
  • PersonId : 1242627
Miroslava Stefanova
  • Fonction : Auteur
  • PersonId : 1033519
Bilyana Genova
  • Fonction : Auteur
  • PersonId : 1033520
Radoslava Kraleva
  • Fonction : Auteur
  • PersonId : 1242628
Velin Kralev
  • Fonction : Auteur
  • PersonId : 1242629

Résumé

We investigated age related synaptic plasticity in thalamic reticular nucleus (TRN) as a part of visual information processing system in the brain. Simulation experiments were performed using a hierarchical spike timing neural network model in NEST simulator. The model consists of multiple layers starting with retinal photoreceptors through thalamic relay, primary visual cortex layers up to the lateral intraparietal cortex (LIP) responsible for decision making and preparation of motor response. All synaptic inter- and intra-layer connections of our model are structured according to the literature information. The present work extends the model with spike timing dependent plastic (STDP) synapses within TRN as well as from visual cortex to LIP area. Synaptic strength changes were forced by teaching signal typical for three different age groups (young, middle and elderly) determined experimentally from eye movement data collected by eye tracking device from human subjects preforming a simplified simulated visual navigation task.
Fichier principal
Vignette du fichier
497040_1_En_24_Chapter.pdf (1.36 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04050609 , version 1 (29-03-2023)

Licence

Paternité

Identifiants

Citer

Petia Koprinkova-Hristova, Nadejda Bocheva, Simona Nedelcheva, Miroslava Stefanova, Bilyana Genova, et al.. STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing. 16th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2020, Neos Marmaras, Greece. pp.279-290, ⟨10.1007/978-3-030-49161-1_24⟩. ⟨hal-04050609⟩
15 Consultations
2 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More