Modeling study on Calcium-activated Dynamics of Neuronal Dendrites

Norihiro Katayama, Mitsuyuki Nakao, Yoshinari Mizutani, Mitsuaki Yamamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A mathematical model of active neuronal dendrite is constructed in the discrete form based on physiological informations. The dynandcs of this model is described by calcium-activated regenerative processes with threshold and calcium accumulation system which changes the dynamical properties of the model. Our model is capable of reproducing a stable oscillation in response to a maintained current stimulation. The firing rate in response to the periodic stimulation monotonically increases in a stepwise manner as a function of the amplitude of stimuli. This stimulus-response properties are commonly observed in aM actual neurons and neuron models. The model can also reproduce caldumactivated plateau potential based on bifurcation mechanism parametrized by an intracellular calcium concentration. These dynamical properties coincide with that of actual neuron. Compaitmental dendrite model is constructed by coupling these single compartment models to make up dendritic structure. Active potentials propagating on compaitmental dendrite model mutually interact so that the propagating velocity is modified. Active dendrite which is constructed with the "neuron" could process information throufh its complicated dynamics.

Original languageEnglish
Title of host publicationProceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages523-528
Number of pages6
ISBN (Electronic)0780305590
DOIs
Publication statusPublished - 1992
Event1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States
Duration: 1992 Jun 71992 Jun 11

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume3

Conference

Conference1992 International Joint Conference on Neural Networks, IJCNN 1992
Country/TerritoryUnited States
CityBaltimore
Period92/6/792/6/11

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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