Introduction to Computational Models of Synaptic Plasticity
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Authors
Zhang, Ryan
Issue Date
2017
Type
Thesis
Language
en_US
Keywords
Alternative Title
Abstract
The function of memorizing of a brain is basically due to synaptic plasticity. Ca2+ and dopamine
inputs can lead to change in activity of AMPAR, through phosphorylation and dephosphorylation
pathways. This process consists of hundreds of components. To describe the mechanisms behind
LTP/LTD, many computational models are developed with various features. In this study, we will
explain the biological background and introduce three computational models: model by d'Alcantara
et al., model by Kim et al., and model by Lindskog et al.. Administrator only at request of department.
Description
ii, 22 p.
Citation
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License
U.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written permission of the copyright holder. All rights reserved.