Name
Abstract | ||
|---|---|---|
We analyze extensively the temporal properties of the train of spikes emitted by a simple model neuron as a function of the statistics of the synaptic input. In particular we focus on the asynchronous case, in which the synaptic inputs are random and uncorrelated. We show that the NMDA component acts as a non-stationary input that varies on longer time scales than the inter-spike intervals. In the subthreshold regime, this can increase dramatically the coefficient of variability (bringing it beyond one). The analysis provides also simple guidelines for searching parameters that maximize irregularity. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-46084-5_39 | ICANN |
Keywords | Field | DocType |
inter-spike interval,non-stationary input,subthreshold regime,longer time scale,synaptic input,nmda receptor conductances,asynchronous case,simple model neuron,temporal property,nmda component act,inter-spike interval variability,simple guideline,nmda receptor | Asynchronous communication,Synapse,Pattern recognition,Biological system,Computer science,NMDA receptor,Uncorrelated,Artificial intelligence,Subthreshold conduction,Artificial neural network,Spike potential,Statistical analysis | Conference |
Volume | ISSN | ISBN |
2415 | 0302-9743 | 3-540-44074-7 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giancarlo La Camera | 1 | 38 | 5.05 |
| Stefano Fusi | 2 | 669 | 90.97 |
| Walter Senn | 3 | 316 | 27.52 |
| Alexander Rauch | 4 | 4 | 1.29 |
| Hans-rudolf Lüscher | 5 | 127 | 11.09 |