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J Neurophysiol (July 13, 2005). doi:10.1152/jn.00686.2005
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Submitted on June 30, 2005
Accepted on July 7, 2005

Adaptive exponential integrate-and-fire model as an effective description of neuronal activity

Romain Brette1* and Wulfram Gerstner1

1 Laboratory of Computational Neuroscience, EPFL, Lausanne, Switzerland

* To whom correspondence should be addressed. E-mail: brette{at}di.ens.fr.

We introduce a two-dimensional integrate-and-fire model which combines an exponential spike mechanism with an adaptation equation, based on recent theoretical findings. We describe a systematic method to estimate its parameters with simple electrophysiological protocols (current-clamp injection of pulses and ramps), and apply it to a detailed conductance-based model of a regular spiking neuron. Our simple model predicts correctly the timing of 96% of the spikes (±2 ms) of the detailed model in response to injection of noisy synaptic conductances. The model is especially reliable in high-conductance states, typical of cortical activity in vivo, in which intrinsic conductances were found to have a reduced role in shaping spike trains. These results are promising because this simple model has enough expressive power to reproduce qualitatively several electrophysiological classes described in vitro.




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