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  Averaging Transformations of Synaptic Potentials on Networks

Noori, H. (submitted). Averaging Transformations of Synaptic Potentials on Networks.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-C04C-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-C04D-F
Genre: Journal Article

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Noori, HR1, Author              
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1External Organizations, ou_persistent22              

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 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. (PDF) Averaging Transformations of Synaptic Potentials on Networks. Available from: https://www.researchgate.net/publication/45857536_Averaging_Transformations_of_Synaptic_Potentials_on_Networks [accessed Jan 10 2019].

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 Dates: 2009-06
 Publication Status: Submitted
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Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 12 Identifier: -