Hardware computation of conductance-based neuron models. - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue Neurocomputing Année : 2004

Hardware computation of conductance-based neuron models.

Résumé

We review different applications of silicon conductance-based neuron models implemented on analog circuits. At the single-cell level, we describe a circuit in which conductances are programmed to simulate various Hodgkin-Huxley type models; integrated in a hardware/software system, they provide a simulation tool; an illustrative example is the simulation of bursting neurons of the thalamus. At the network level, we present a mixed analog-digital architecture, where the connectivity and the plasticity rules are implemented digitally and are therefore very flexible. These circuits provide valuable tools for real-time simulations, including hybrid applications where single-neuron or network models are interfaced with biological cells.

Dates et versions

hal-00018608 , version 1 (09-02-2006)

Identifiants

Citer

L. Alvado, Jean Tomas, Sylvain Saighi, Sylvie Renaud, Thierry Bal, et al.. Hardware computation of conductance-based neuron models.. Neurocomputing, 2004, 58-60, pp.109. ⟨10.1016/j.neucom.2004.01.030⟩. ⟨hal-00018608⟩
88 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More