Publication
Title
Activity-driven computational strategies of a dynamically regulated integrate-and-fire model neuron
Author
Abstract
Activity-dependent slow biochemical regulation processes, affecting intrinsic properties of a neuron, might play an important role in determining information processing strategies in the nervous system. We introduce second-order biochemical phenomena into a linear leaky integrate-and-fire model neuron together with a detailed kinetic description for synaptic signal transduction. In this framework, we investigate the membrane intrinsic electrical properties differentiation, showing the appearance of activity-dependent shifts between integration and temporal coincidence detection operating mode, for the single unit of a network.
Language
English
Source (journal)
Journal of computational neuroscience. - Boston, Mass.
Publication
Boston, Mass. : 1999
ISSN
0929-5313
Volume/pages
7 :3 (1999) , p. 247-254
ISI
000082588500004
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 05.11.2018
Last edited 07.10.2021