Multi-channel shot noise and characterization of cortical network activity

Authors:
Michael Rudolph;Alain Destexhe
Affiliations:
Unité de Neurosciences Intégratives et Computationnelles, CNRS, UPR-2191, Bat. 33, Avenue de la Terrasse 1, 91198 Gif-sur-Yvette, France;Unité de Neurosciences Intégratives et Computationnelles, CNRS, UPR-2191, Bat. 33, Avenue de la Terrasse 1, 91198 Gif-sur-Yvette, France
Venue:
Neurocomputing
Year:
2005

Citing 2
Cited 1

The NEURON simulation environment

Neural Computation
Characterization of subthreshold voltage fluctuations in neuronal membranes

Neural Computation

Analytical Integrate-and-Fire Neuron Models with Conductance-Based Dynamics for Event-Driven Simulation Strategies

Neural Computation

Quantified Score

Hi-index	0.01

Visualization

Abstract

Neurons in cerebral cortex are characterized by a stochastic subthreshold membrane potential (V"m) activity, which originates from the ongoing and irregular activity of neurons in the cortical network. Here, we propose a way of characterizing this network activity by using the notion of shot noise applied to pulse-based kinetic models of synaptic conductances. We link the statistical characterization of synaptic conductances in terms of their mean and variance to the activity in the network, in particular the average firing rate of presynaptic neurons and their temporal correlation, thus providing a possible method for characterizing cortical network activity from intracellularly recorded V"m activity.