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Averaging Transformations of Synaptic Potentials on Networks

Hamid Reza Noori¹

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1. University of Heidelberg

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Document Type:

Manuscript

Date:

Received 19 June 2009 10:08 UTC; Posted 19 June 2009

Subjects:

Neuroscience

Tags:

• neural network
• functional analysis
• synaptic potentials
• Mathematical model
• striatal complex

Abstract:

The problem of the transformation of microscopic information to the macroscopic level is an intriguing challenge in computational neuroscience, but also of general mathematical importance. Here, a phenomenological mathematical model is introduced that simulates the internal information processing of brain compartments. Synaptic potentials are integrated over small number of realistically coupled neurons to obtain macroscopic quantities. The striatal complex, an important part of the basal ganglia circuit in the brain for regulating motor activity, has been investigated as an example for the validation of the model.

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License:

This document is licensed to the public under the Creative Commons Attribution 3.0 License

How to cite this document:

Noori, Hamid Reza. Averaging Transformations of Synaptic Potentials on Networks. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2009.3348.1> (2009)

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