A model of stochastic activity of neurone in some types of gaussian input processes

Title:

A model of stochastic activity of neurone in some types of gaussian input processes

Creator:

Novák, V. and Schmidt, J.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:403ba040-31a4-4c9b-93d3-94797fe8ff05
uuid:403ba040-31a4-4c9b-93d3-94797fe8ff05

Subject:

model of neuronal stochastic activity, e-curves, interspike interval density distribution, and stochastic transformations

Type:

article, model:article, and TEXT

Description:

A new approach to computer modelling of neuronal stochastic activity is described. The output dynamic activity which depends on the types and the number of input synapses, weights of the synaptic efficacy, the absolute refractory phase duration and threshold level is evaluated on this model in some types of Gaussian input processes. The behaviour of this model for one excitatory and one inhibitory synapse is described in dependence on the changes of excitation weight. The neuronal behaviour presented depends on the number of interspike intervals and the excitation weight and interspike interval density distribution. A novel concept of the e-curve is being introduced, which shows the dependence of the number of output interspike intervals on the weight of excitation on a stable inhibition level, the absolute refractory phase value and the threshold level. The properties of e-curves are discussed. Furthermore, examples of transformations of input stochastic processes are mentioned from the aspect of density distribution changes of interspike intervals.

Language:

English

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Source:

Physiological research | 1996 Volume:45 | Number:5

Harvested from:

CDK

Metadata only:

false