Neuronal intrinsic noise has already shown to play a constructive role in stimuli detection. Here, an exogenous noise, applied to the neuron model as a random membrane voltage perturbation, has been considered. Properly choosing its frequency band, such a noise is able to induce firing activity in a silent neuron and to enhance the detectability of an exogenous signal, representative of an electromagnetic stimulation, through the phenomenon known as stochastic resonance. © 2006 IEEE.
Effects of exogenous noise in a silent neuron model: Firing induction and EM signal detection / Paffi, Alessandra; Liberti, Micaela; Apollonio, Francesca; M., Gianni'; D'Inzeo, Guglielmo. - STAMPA. - 1:(2006), pp. 4183-4186. (Intervento presentato al convegno 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 tenutosi a New York, NY nel 30 August 2006 through 3 September 2006) [10.1109/iembs.2006.259342].
Effects of exogenous noise in a silent neuron model: Firing induction and EM signal detection
PAFFI, ALESSANDRA;LIBERTI, Micaela;APOLLONIO, Francesca;D'INZEO, Guglielmo
2006
Abstract
Neuronal intrinsic noise has already shown to play a constructive role in stimuli detection. Here, an exogenous noise, applied to the neuron model as a random membrane voltage perturbation, has been considered. Properly choosing its frequency band, such a noise is able to induce firing activity in a silent neuron and to enhance the detectability of an exogenous signal, representative of an electromagnetic stimulation, through the phenomenon known as stochastic resonance. © 2006 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
