Journal article
Analogue pattern matching in a dendritic spine model based on phosphorylation of potassium channels
Network (Bristol), Vol.11(4), pp.281-297
11/2000
DOI: 10.1088/0954-898X_11_4_303
PMID: 11128168
Abstract
Modification of potassium channels by protein phosphorylation has been shown to play a role in learning and memory. If such memory storage machinery were part of dendritic spines, then a set of spines could act as an 'analogue pattern matching' device by learning a repeatedly presented pattern of synaptic activation. In this study, the plausibility of such analogue pattern matching is investigated in a detailed circuit model of a set of spines attached to a dendritic branch. Each spine head contains an AMPA synaptic channel in parallel with a calcium-dependent potassium channel whose sensitivity depends on its phosphorylation state. Repeated presentation of synaptic activity results in calcium activation of protein kinases and subsequent channel phosphorylation. Simulations demonstrate that signal strength is greatest when the synaptic input pattern is equal to the previously learned pattern, and smaller when components of the synaptic input pattern are either smaller or larger than corresponding components of the previously learned pattern. Therefore, our results indicate that dendritic spines may act as an analogue pattern matching device, and suggest that modulation of potassium channels by protein kinases may mediate neuronal pattern recognition.
Details
- Title: Subtitle
- Analogue pattern matching in a dendritic spine model based on phosphorylation of potassium channels
- Creators
- Keun-Hang Yang - George Mason UniversityK T Blackwell - George Mason University
- Resource Type
- Journal article
- Publication Details
- Network (Bristol), Vol.11(4), pp.281-297
- DOI
- 10.1088/0954-898X_11_4_303
- PMID
- 11128168
- NLM abbreviation
- Network
- ISSN
- 0954-898X
- eISSN
- 1361-6536
- Publisher
- Informa UK Ltd
- Language
- English
- Date published
- 11/2000
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Iowa Neuroscience Institute
- Record Identifier
- 9984446455902771
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