| Title |
A Rate-Reduced Neuron Model for Complex Spiking Behavior
|
|---|---|
| Published in |
The Journal of Mathematical Neuroscience, December 2017
|
| DOI | 10.1186/s13408-017-0055-3 |
| Pubmed ID | |
| Authors |
Koen Dijkstra, Yuri A. Kuznetsov, Michel J. A. M. van Putten, Stephan A. van Gils |
| Abstract |
We present a simple rate-reduced neuron model that captures a wide range of complex, biologically plausible, and physiologically relevant spiking behavior. This includes spike-frequency adaptation, postinhibitory rebound, phasic spiking and accommodation, first-spike latency, and inhibition-induced spiking. Furthermore, the model can mimic different neuronal filter properties. It can be used to extend existing neural field models, adding more biological realism and yielding a richer dynamical structure. The model is based on a slight variation of the Rulkov map. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 21% |
| Researcher | 2 | 14% |
| Student > Master | 2 | 14% |
| Student > Doctoral Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 3 | 21% |
| Neuroscience | 3 | 21% |
| Engineering | 2 | 14% |
| Medicine and Dentistry | 1 | 7% |
| Computer Science | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 29% |