Dynamical Characteristics of a Hodgkin-Huxley neuron
| dc.creator | Yang, Huijie | |
| dc.creator | Zhao, Fangcui | |
| dc.creator | Zhuo, Yizhong | |
| dc.creator | Wu, Xizhen | |
| dc.creator | Li, Zhuxia | |
| dc.date | 2002-01-14 | |
| dc.date.accessioned | 2026-07-07T02:44:06Z | |
| dc.date.available | 2026-07-07T02:44:06Z | |
| dc.description | By means of the concepts of factorial moment, return map and NM estimator, we analyze some responses of a HH neuron to various types of spike-train inputs. The corresponding fractal dimensions and values of NM estimators can describe the correlation characteristics quantitatively. It is found that all the intervals of successive output spikes may obey a power-law for some conditions. And in time scale the output series for a HH model for each type of inputs is correlated with typical correlation length and correlation strength. These power-law and correlation characteristics may be useful in the coding and decoding process of HH neurons. These concepts may distinguish different inputs quantitatively. PACS number(s): 87.18.Sn, 84.35.+i, 05.45.Tp | |
| dc.description | 15 pages, 2 figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0201206 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0201206 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/18778 | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.subject | Mesoscale and Nanoscale Physics | |
| dc.subject | Quantitative Biology | |
| dc.title | Dynamical Characteristics of a Hodgkin-Huxley neuron | |
| dc.type | text |