Gradient Trigger Mechanisms Related to Bistability Regimes in a Leech Heartbeat Model
We studied bursting patterns underlied by bifurcation phenomena and chaotic spiking in a computational leech heartbeat model. We observed the gradient physical properties of the ISI trains and amplitude (shift of the membrane potential) when the parameter gleak was mildly changed and found differ...
Gespeichert in:
| Datum: | 2014 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Інститут фізіології ім. О.О. Богомольця НАН України
2014
|
| Schriftenreihe: | Нейрофизиология |
| Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/148274 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Gradient Trigger Mechanisms Related to Bistability Regimes in a Leech Heartbeat Model / Y.Zh. Guan, Sh.Q. Liu, Y.J. Zeng // Нейрофизиология. — 2014. — Т. 46, № 2. — С. 121-128. — Бібліогр.: 22 назв. — англ. |
Institution
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Zusammenfassung: | We studied bursting patterns underlied by bifurcation phenomena and chaotic spiking in a
computational leech heartbeat model. We observed the gradient physical properties of the
ISI trains and amplitude (shift of the membrane potential) when the parameter gleak was
mildly changed and found different bistable areas. The resulting computation implies that (i)
classification of the intensity of the input information is feasible in this regime, (ii) a neuron’s
working level can be marked by its range in a typical bifurcation, and (iii) there are invisible
triggers underlying subtle mechanisms in the model. |
|---|