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Content Provider | IEEE Xplore Digital Library |
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Author | Bouteiller, J.-M.C. Yumei Qiu Ziane, M.B. Baudry, M. Berger, T.W. |
Copyright Year | 2006 |
Description | Author affiliation: Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA (Bouteiller, J.-M.C.) |
Abstract | Chemical synapses, although representing the smallest unit of communication between two neurons in the nervous system constitute a complex ensemble of mechanisms. Understanding these mechanisms and the way synaptic transmission occurs is critical for our comprehension of CNS functions in general and learning and memory in particular. Here we describe a modeling platform called EONS (Elementary Object of Neural System) accessible online, which allows neuroscientists throughout the world to study qualitatively, but also quantitatively the relative contributions of diverse mechanisms underlying synaptic efficacy: the relevance of each and every elements that comprise a synapse, the interactions between these components and their subcellular distribution, as well as the influence of synaptic geometry (presynaptic terminal, cleft and postsynaptic density) |
Sponsorship | IEEE EMB |
Starting Page | 4155 |
Ending Page | 4158 |
File Size | 319671 |
Page Count | 4 |
File Format | |
ISBN | 1424400325 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2006.260693 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-08-30 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Calcium Neurotransmitters Neurons Geometry Kinetic theory Biological system modeling Chemical elements Biomedical engineering Biology computing Computational biology |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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