Transition modes between spiking and bursting in a pacemaker neuron

Title:

Transition modes between spiking and bursting in a pacemaker neuron

Creator:

Ye, W., Liu, S., and Liu, X.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:46d5a5d0-3eca-419c-ba61-2ec6ea3833bc
uuid:46d5a5d0-3eca-419c-ba61-2ec6ea3833bc
doi:10.14311/NNW.2017.27.012

Subject:

central pattern generators, stomatogastric ganglion, inter-spike intervals, and period-doubling bifurcation

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

Central pattern generators (CPGs) play an important role in controlling rhythmic movements in vivo. Increased insight into mechanisms of CPGs can be obtained by perturbing neuron activities so as to study a range of behaviors. By applying this method, a series of simulations were performed to research different transition modes between firing patterns in a pacemaker neuron model of stomatogastric ganglion (STG). Firstly, with the perturbation of parameters in model, such as external stimulus, parameters in compartments and connection between compartments, different firing patterns and bifurcation of inter-spike intervals (ISIs) were obtained to exhibit the impact of single parameter on the transions between spiking and bursting. Moreover, perturbing two parameters gCa, Iext simultaneously induced the continuous variation of the bifurcation mode, which implied the crucial role of calcium channel in regulating the rhythm generation. Finally, a two-dimensional parameter space (gCa, Iext) was constructed by spike-counting method to capture the distribution of the firing patterns and different transition mode between them in a comprehensive aspect. In this parameter space, three basic transition modes were concluded: bifurcation ring, period-doubling mode and period-adding mode.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2017 Volume:27 | Number:2

Harvested from:

CDK

Metadata only:

false