Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments

• Published in: Neurocomputing (ISSN: 0925-2312), vol. 70, num. 10-12, p. 1668-1673
• Elsevier, 2007

An adaptive Exponential Integrate-and-Fire (aEIF) model was used to predict the activity of layer-V-pyramidal neurons of rat neocortex under random current injection. A new protocol has been developed to extract the parameters of the aEIF model using an optimal filtering technique combined with a black-box numerical optimization. We found that the aEIF model is able to accurately predict both subthreshold fluctuations and the exact timing of spikes, reasonably close to the limits imposed by the intrinsic reliability of pyramidal neurons.

Keywords: Adaptation ; Exponential integrate-and-fire ; Neuron ; Spike timing

Reference

• LCN-ARTICLE-2007-002
• doi:10.1016/j.neucom.2006.10.047
• View record in Web of Science

Record created on 2007-04-30, modified on 2012-03-21