Modeling spatio-temporal processing in cerebellar granular layer and effects of controlled inhibition
Résumé
The cerebellum input stage has been known to perform spatio-temporal transformations and combinatorial operations [1] [2] on input signals. In this paper, we developed a model to study information transmission and signal recoding in the cerebellar granular layer and to test observations like center-surround organization and time-window hypothesis [1] [3]. Detailed biophysical models were used to study synaptic plasticity and its effect in generation and modulation of spikes in the granular layer network. Our results indicated that spatio-temporal information transfer through the granular network is controlled by synaptic inhibition [1]. Spike amplitude and number of spikes were modulated by LTP and LTD. Both in vitro and in vivo simulations indicated that inhibitory input via Golgi cells acts as a modulator and regulates the post synaptic excitability.
Fichier principal
NEUROCOMP2010_0011_35d8741124e2c2adddd0e6757580e5d1.pdf (455.12 Ko)
Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...