Name
Title | ||
|---|---|---|
Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron |
Abstract | ||
|---|---|---|
A novel integrate-and-fire model neuron is proposed to account for a non-monotonic f-I response function, as experimentally observed. As opposed to classical forms of adaptation, the present integrate-and-fire model the spike-emission process incorporates a state - dependent inactivation that makes the probability of emitting a spike decreasing as a function of the mean depolarization level instead of the mean firing rate. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-46084-5_24 | ICANN |
Keywords | Field | DocType |
dependent inactivation,present integrate-and-fire model,mean depolarization level,mean firing rate,spike-emission process,novel integrate-and-fire model neuron,non-monotonic current-to-rate response function,classical form,non-monotonic f-i response function | Monotonic function,Computer science,Algorithm,Depolarization,Neuron,Statistical analysis | Conference |
Volume | ISSN | ISBN |
2415 | 0302-9743 | 3-540-44074-7 |
Citations | PageRank | References |
2 | 0.47 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michele Giugliano | 1 | 109 | 12.36 |
| Giancarlo La Camera | 2 | 38 | 5.05 |
| Alexander Rauch | 3 | 4 | 1.29 |
| Hans-rudolf Lüscher | 4 | 127 | 11.09 |
| Stefano Fusi | 5 | 669 | 90.97 |