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Averaging Transformations of Synaptic Potentials on Networks

Noori, Hamid Reza

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Translation of abstract (English)

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.

Item Type: Preprint
Date Deposited: 29 Jun 2009 13:36
Date: 2009
Faculties / Institutes: Service facilities > Interdisciplinary Center for Scientific Computing
Subjects: 510 Mathematics
Controlled Keywords: Mathematische Modellierung
Uncontrolled Keywords: Neuroscience , Averaging
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