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

J Neurophysiol. 2005 Nov;94(5):3637-42. doi: 10.1152/jn.00686.2005. Epub 2005 Jul 13.


We introduce a two-dimensional integrate-and-fire model that 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.

MeSH terms

  • Action Potentials / physiology*
  • Adaptation, Physiological / physiology
  • Animals
  • Cell Membrane / physiology*
  • Computer Simulation
  • Excitatory Postsynaptic Potentials / physiology*
  • Humans
  • Membrane Potentials / physiology*
  • Models, Neurological*
  • Neuronal Plasticity / physiology*
  • Synaptic Transmission / physiology*