dc.contributor.author |
PARANJAPE, SHRUTI |
en_US |
dc.date.accessioned |
2020-10-26T06:38:37Z |
|
dc.date.available |
2020-10-26T06:38:37Z |
|
dc.date.issued |
2015-01 |
en_US |
dc.identifier.citation |
Resonance, 20(1), 198–205. |
en_US |
dc.identifier.issn |
0973-712X |
en_US |
dc.identifier.issn |
0971-8044 |
en_US |
dc.identifier.uri |
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/5300 |
|
dc.identifier.uri |
https://doi.org/10.1007/s12045-015-0150-2 |
en_US |
dc.description.abstract |
This article first reviews the basic concepts of the Hodgkin-Huxley model of nerve signal propagation. Recent experiments show fluctuations which call for introducing randomness into the model’s equations. Some simulations which reproduce the observed behavior are presented. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Indian Academy of Sciences |
en_US |
dc.subject |
Stochasticity |
en_US |
dc.subject |
Hodgkin-Huxley |
en_US |
dc.subject |
Neurons |
en_US |
dc.subject |
Noise |
en_US |
dc.subject |
Differential equations |
en_US |
dc.subject |
2015 |
en_US |
dc.title |
Noisy neurons |
en_US |
dc.type |
Article |
en_US |
dc.contributor.department |
Dept. of Physics |
en_US |
dc.identifier.sourcetitle |
Resonance |
en_US |
dc.publication.originofpublisher |
Indian |
en_US |