Name
Abstract | ||
|---|---|---|
We study a canonical model of type-I membranes subject to correlated fluctuating input currents. We present a semi-analytical approach for calculating the response of this neuron model to time dependent inputs both in the input current and the noise amplitude using a novel sparse matrix representation of the systems Fokker-Planck operator. It turns out, that the maximum stimulation frequency which can be transmitted through this model neuron is approximately given by the stationary firing rate. Our results agree well with the behavior of a conductance-based model-neuron but are in qualitative disagreement with key response properties of leaky integrate-and-fire neurons. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.neucom.2004.10.040 | Neurocomputing |
Keywords | Field | DocType |
integrate-and-fire model,key response property,model neuron,dependent input,population of spiking neurons,leaky integrate-and-fire neuron,conductance-based model-neuron,spike initiation,neuron model,noise amplitude,canonical model,dynamics,correlated fluctuating input current,maximum stimulation frequency,dynamical response property,type-i membrane,fokker planck,sparse matrix | Biological neuron model,Canonical model,Membrane,Operator (computer programming),Artificial intelligence,Conductance,Amplitude,Mathematics,Sparse matrix,Machine learning | Journal |
Volume | ISSN | Citations |
65-66, | Neurocomputing | 3 |
PageRank | References | Authors |
0.47 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| B Naundorf | 1 | 15 | 1.31 |
| T. Geisel | 2 | 6 | 0.89 |
| Fred Wolf | 3 | 72 | 9.41 |