Journal article
Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches
Nature reviews. Neuroscience, Vol.11(4), pp.239-251
04/01/2010
DOI: 10.1038/nrn2807
PMCID: 4831053
PMID: 20300102
Abstract
Synaptic plasticity is thought to underlie learning and memory, but the complexity of the interactions between the ion channels, enzymes and genes that are involved in synaptic plasticity impedes a deep understanding of this phenomenon. Computer modelling has been used to investigate the information processing that is performed by the signalling pathways involved in synaptic plasticity in principal neurons of the hippocampus, striatum and cerebellum. In the past few years, new software developments that combine computational neuroscience techniques with systems biology techniques have allowed large-scale, kinetic models of the molecular mechanisms underlying long-term potentiation and long-term depression. We highlight important advancements produced by these quantitative modelling efforts and introduce promising approaches that use advancements in live-cell imaging.
Details
- Title: Subtitle
- Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches
- Creators
- Jeanette Hellgren Kotaleski - KTH Royal Institute of TechnologyKim T. Blackwell - George Mason University
- Resource Type
- Journal article
- Publication Details
- Nature reviews. Neuroscience, Vol.11(4), pp.239-251
- DOI
- 10.1038/nrn2807
- PMID
- 20300102
- PMCID
- 4831053
- NLM abbreviation
- Nat Rev Neurosci
- ISSN
- 1471-003X
- eISSN
- 1471-0048
- Publisher
- Springer Nature
- Number of pages
- 13
- Grant note
- HFSP programme R01 AA16022; RO1 AA18060 / joint NSF-NIH CRCNS programme through NIH Swedish Research Council Parkinson's Foundation
- Language
- English
- Date published
- 04/01/2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Iowa Neuroscience Institute
- Record Identifier
- 9984446559802771
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