Literature DB >> 31539624

The contribution of ion channels in input-output plasticity.

Dominique Debanne1, Michaël Russier2.   

Abstract

Persistent changes that occur in brain circuits are classically thought to be mediated by long-term modifications in synaptic efficacy. Yet, many studies have shown that voltage-gated ion channels located at the input and output side of the neurons are also the subject to persistent modifications. These channels are thus responsible for intrinsic plasticity that is expressed in many different neuronal types including glutamatergic principal neurons and GABAergic interneurons. As for synaptic plasticity, activation of synaptic glutamate receptors initiate persistent modification in neuronal excitability. We review here how synaptic input can be efficiently altered by activity-dependent modulation of ion channels that control EPSP amplification, spike threshold or resting membrane potential. We discuss the nature of the learning rules shared by intrinsic and synaptic plasticity, the mechanisms of ion channel regulation and the impact of intrinsic plasticity on induction of synaptic modifications.
Copyright © 2019 Elsevier Inc. All rights reserved.

Keywords:  Activity-dependent plasticity; Ion channels; LTD; LTP; Learning; Memory; STDP

Year:  2019        PMID: 31539624     DOI: 10.1016/j.nlm.2019.107095

Source DB:  PubMed          Journal:  Neurobiol Learn Mem        ISSN: 1074-7427            Impact factor:   2.877


  4 in total

Review 1.  Intrinsic plasticity and birdsong learning.

Authors:  Arij Daou; Daniel Margoliash
Journal:  Neurobiol Learn Mem       Date:  2021-02-22       Impact factor: 2.877

2.  Homeostatic plasticity and burst activity are mediated by hyperpolarization-activated cation currents and T-type calcium channels in neuronal cultures.

Authors:  Anikó Rátkai; Krisztián Tárnok; Hajar El Aouad; Brigitta Micska; Katalin Schlett; Attila Szücs
Journal:  Sci Rep       Date:  2021-02-05       Impact factor: 4.379

Review 3.  Mechanisms of Plasticity in Subcortical Visual Areas.

Authors:  Maël Duménieu; Béatrice Marquèze-Pouey; Michaël Russier; Dominique Debanne
Journal:  Cells       Date:  2021-11-13       Impact factor: 6.600

4.  Prediction of Neural Diameter From Morphology to Enable Accurate Simulation.

Authors:  Jonathan D Reed; Kim T Blackwell
Journal:  Front Neuroinform       Date:  2021-06-03       Impact factor: 4.081

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.