Hardware computation of conductance-based neuron models.

Abstract : 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.
Document type :
Journal articles
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00018608
Contributor : Alain Perignon <>
Submitted on : Thursday, February 9, 2006 - 1:38:05 PM
Last modification on : Thursday, January 11, 2018 - 6:19:38 AM

Identifiers

Citation

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

Share

Metrics

Record views

140