An analytical model for the "large, fluctuating synaptic conductance state" typical of neocortical neurons in vivo

J Comput Neurosci. Mar-Apr 2004;16(2):159-75. doi: 10.1023/B:JCNS.0000014108.03012.81.

Abstract

A model of in vivo-like neocortical activity is studied analytically in relation to experimental data and other models in order to understand the essential mechanisms underlying such activity. The model consists of a network of sparsely connected excitatory and inhibitory integrate-and-fire (IF) neurons with conductance-based synapses. It is shown that the model produces values for five quantities characterizing in vivo activity that are in agreement with both experimental ranges and a computer-simulated Hodgkin-Huxley model adapted from the literature (Destexhe et al. (2001) Neurosci. 107(1): 13-24). The analytical model builds on a study by Brunel (2000) (J. Comput. Neurosci. 8: 183-208), which used IF neurons with current-based synapses, and therefore does not account for the full range of experimental data. The present results suggest that the essential mechanism required to explain a range of data on in vivo neocortical activity is the conductance-based synapse and that the particular model of spike initiation used is not crucial. Thus the IF model with conductance-based synapses may provide a basis for the analytical study of the "large, fluctuating synaptic conductance state" typical of neocortical neurons in vivo.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Action Potentials / physiology
  • Animals
  • Excitatory Postsynaptic Potentials / physiology
  • Models, Neurological*
  • Neocortex / cytology*
  • Neocortex / physiology
  • Neural Conduction / physiology*
  • Neural Inhibition / physiology
  • Neural Networks, Computer
  • Neurons / physiology*
  • Synapses / physiology*
  • Synaptic Transmission / physiology