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dc.contributor.advisorErdi, Peter
dc.contributor.authorZhang, Ryan
dc.descriptionii, 22 p.en_US
dc.description.abstractThe 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.en_US
dc.relation.ispartofKalamazoo College Physics Senior Individualized Projects Collection
dc.rightsU.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.
dc.titleIntroduction to Computational Models of Synaptic Plasticityen_US

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  • Physics Senior Individualized Projects [317]
    This collection includes Senior Individualized Projects (SIP's) completed in the Physics Department. Abstracts are generally available to the public, but PDF files are available only to current Kalamazoo College students, faculty, and staff.

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