We consider a small network, consisting of a reference unit that receives background inputs from the large network in which it is embedded and strong inputs from an excitatory unit and an inhibitory unit that generate constant amplitude jumps (upward or downward) in its membrane potential. The jumps occur at either exponential or inverse Gaussian distributed times. The entropy and the Kullback-Leibler distance between the spiking distributions are employed to study the effect of the inputs with a special attention to the role of inhibitory ones.

Information Measures in a Small Network of Spiking Neurons

GIRAUDO, Maria Teresa;SACERDOTE, Laura Lea;SIROVICH, ROBERTA
2007-01-01

Abstract

We consider a small network, consisting of a reference unit that receives background inputs from the large network in which it is embedded and strong inputs from an excitatory unit and an inhibitory unit that generate constant amplitude jumps (upward or downward) in its membrane potential. The jumps occur at either exponential or inverse Gaussian distributed times. The entropy and the Kullback-Leibler distance between the spiking distributions are employed to study the effect of the inputs with a special attention to the role of inhibitory ones.
BIOCOMP 2007 Collective Dynamics: Topics on Competition and Cooperation in the Biosciences
Vietri sul Mare (NA)
24-28/09/2007
BIOCOMP 2007 Collective Dynamics: Topics on Competition and Cooperation in the Biosciences Abstracts
L.M. Ricciardi
64
65
Leaky integrate-and-fire model; Information measure; Inhibition
M.T. Giraudo; L. Sacerdote; R. Sirovich
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/87753
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