Journal article
Modulation of Spike-Timing Dependent Plasticity: Towards the Inclusion of a Third Factor in Computational Models
Frontiers in computational neuroscience, Vol.12, pp.49-49
07/03/2018
DOI: 10.3389/fncom.2018.00049
PMCID: PMC6037788
PMID: 30018546
Abstract
In spike-timing dependent plasticity (STDP) change in synaptic strength depends on the timing of pre-vs. postsynaptic spiking activity. Since STDP is in compliance with Hebb's postulate, it is considered one of the major mechanisms of memory storage and recall. STDP comprises a system of two coincidence detectors with N-methyl-D-aspartate receptor (NMDAR) activation often posited as one of the main components. Numerous studies have unveiled a third component of this coincidence detection system, namely neuromodulation and glia activity shaping STDP. Even though dopaminergic control of STDP has most often been reported, acetylcholine, noradrenaline, nitric oxide (NO), brain-derived neurotrophic factor (BDNF) or gamma-aminobutyric acid (GABA) also has been shown to effectively modulate STDP. Furthermore, it has been demonstrated that astrocytes, via the release or uptake of glutamate, gate STDP expression. At the most fundamental level, the timing properties of STDP are expected to depend on the spatiotemporal dynamics of the underlying signaling pathways. However in most cases, due to technical limitations experiments grant only indirect access to these pathways. Computational models carefully constrained by experiments, allow for a better qualitative understanding of the molecular basis of STDP and its regulation by neuromodulators. Recently, computational models of calcium dynamics and signaling pathway molecules have started to explore STDP emergence in ex and in vivo-like conditions. These models are expected to reproduce better at least part of the complex modulation of STDP as an emergent property of the underlying molecular pathways. Elucidation of the mechanisms underlying STDP modulation and its consequences on network dynamics is of critical importance and will allow better understanding of the major mechanisms of memory storage and recall both in health and disease.
Details
- Title: Subtitle
- Modulation of Spike-Timing Dependent Plasticity: Towards the Inclusion of a Third Factor in Computational Models
- Creators
- Alexandre Foncelle - Institut national de recherche en sciences et technologies du numériqueAlexandre Mendes - Sorbonne UniversitéJoanna Jedrzejewska-Szmek - George Mason UniversitySilvana Valtcheva - Sorbonne UniversitéHugues Berry - Institut national de recherche en sciences et technologies du numériqueKim T. Blackwell - George Mason UniversityLaurent Venance - Sorbonne Université
- Resource Type
- Journal article
- Publication Details
- Frontiers in computational neuroscience, Vol.12, pp.49-49
- DOI
- 10.3389/fncom.2018.00049
- PMID
- 30018546
- PMCID
- PMC6037788
- NLM abbreviation
- Front Comput Neurosci
- ISSN
- 1662-5188
- eISSN
- 1662-5188
- Publisher
- Frontiers Media Sa
- Number of pages
- 21
- Grant note
- R01DA038890 / NATIONAL INSTITUTE ON DRUG ABUSE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Drug Abuse (NIDA); European Commission LabEx Paris-Sciences et Lettres (PSL) Fondation pour la Recherche Medicale (FRM); Fondation pour la Recherche Medicale Agence Nationale pour la Recherche (ANR-CRCNS Dopaciumcity); French National Research Agency (ANR) R01DA03889 / NIH-NSF CRCNS program through NIAAA
- Language
- English
- Date published
- 07/03/2018
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Iowa Neuroscience Institute
- Record Identifier
- 9984446522502771
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