Name
Title | ||
|---|---|---|
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.neucom.2006.10.047 | Neurocomputing |
Keywords | Field | DocType |
exponential integrate-and-fire,intrinsic reliability,aeif model,adaptive exponential integrate-and-fire model,black-box numerical optimization,exact timing,layer-v-pyramidal neuron,neuron,pyramidal neuron,threshold type,random current injection,adaptive exponential integrate-and-fire,spike timing,adaptation,new protocol,simple model,neuronal activity,87.19.la,rat neocortex,exponential integrator | Neocortex,Exponential function,Premovement neuronal activity,Computer science,Filter (signal processing),Exponential integrate-and-fire,Subthreshold conduction,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
70 | 10-12 | Neurocomputing |
Citations | PageRank | References |
31 | 2.43 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claudia Clopath | 1 | 299 | 16.55 |
| Renaud Jolivet | 2 | 167 | 13.04 |
| Alexander Rauch | 3 | 117 | 7.74 |
| Hans-rudolf Lüscher | 4 | 127 | 11.09 |
| Wulfram Gerstner | 5 | 2437 | 410.08 |