eprintid: 9564
rev_number: 9
eprint_status: archive
userid: 1
dir: disk0/00/00/95/64
datestamp: 2009-06-29 13:36:56
lastmod: 2015-04-22 06:09:42
status_changed: 2012-08-14 15:29:48
type: preprint
metadata_visibility: show
creators_name: Noori, Hamid Reza
title: Averaging Transformations of Synaptic Potentials on Networks
ispublished: pub
subjects: 510
divisions: 708000
keywords: Neuroscience , Averaging
cterms_swd: Mathematische Modellierung
abstract_translated_text: 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.
abstract_translated_lang: eng
date: 2009
date_type: published
id_scheme: DOI
id_number: 10.11588/heidok.00009564
ppn_swb: 1647955769
own_urn: urn:nbn:de:bsz:16-opus-95641
language: eng
bibsort: NOORIHAMIDAVERAGINGT2009
full_text_status: public
citation:   Noori, Hamid Reza  (2009) Averaging Transformations of Synaptic Potentials on Networks.  [Preprint]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/9564/1/trans.pdf