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

@article{citeulike:2658073, abstract = {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.}, address = {Dept. d'Informatique, Equipe Odyss\'{e}e, Ecole Normale Sup\'{e}rieure, 45 rue d'Ulm, 75230 Paris Cedex 05, France. brette@di.ens.fr}, author = {Brette, R. and Gerstner, W.}, citeulike-article-id = {2658073}, citeulike-linkout-0 = {http://dx.doi.org/10.1152/jn.00686.2005}, citeulike-linkout-1 = {http://jn.physiology.org/cgi/content/abstract/94/5/3637}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/16014787}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=16014787}, doi = {10.1152/jn.00686.2005}, issn = {0022-3077}, journal = {Journal of neurophysiology}, keywords = {aeif, and, fire, integrate, model, neuron, yale}, month = {November}, number = {5}, pages = {3637--3642}, posted-at = {2008-10-16 09:44:58}, priority = {2}, title = {Adaptive exponential integrate-and-fire model as an effective description of neuronal activity.}, url = {http://dx.doi.org/10.1152/jn.00686.2005}, volume = {94}, year = {2005} }

TY - JOUR ID - citeulike:2658073 L3 - citeulike-article-id:2658073 N2 - 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. IS - 5 JF - Journal of neurophysiology SN - 0022-3077 AD - Dept. d'Informatique, Equipe Odyssée, Ecole Normale Supérieure, 45 rue d'Ulm, 75230 Paris Cedex 05, France. brette@di.ens.fr EP - 3642 TI - Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. VL - 94 SP - 3637 KW - aeif KW - and KW - fire KW - integrate KW - model KW - neuron KW - yale AU - Brette, R AU - Gerstner, W PY - 2005/11// UR - http://dx.doi.org/10.1152/jn.00686.2005 ER -