Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances
type: Item
instance of: scholarly article
title: Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances
zbMATH Open document ID: 1409.92037
author: Giseli de Sousa
author: Reinoud Maex
author: Rod Adams
author: Neil Davey
author: Volker Steuber
published in: Journal of Computational Neuroscience
publication date: 2019-03-25T00:00:00Z
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 92-04
zbMATH DE Number: 7041317
zbMATH Keywords: dendritic tree
zbMATH Keywords: associative memory
zbMATH Keywords: synaptic plasticity
zbMATH Keywords: asymmetry index
zbMATH Keywords: electrotonic length
describes a project that uses: NEURON
MaRDI profile type: Publication
full work available at URL: s10827-014-0537-1
OpenAlex ID: W2146752648
Wikidata QID: Q41970057
cites work: Optimising synaptic learning rules in linear associative memories
cites work: The probabilities of rooted tree-shapes generated by random bifurcation
cites work: Growth models (including terminal and segmental branching) for topological binary trees
cites work: Tree asymmetry -- a sensitive and practical measure for binary topological trees
DBLP publication ID: journals/jcns/SousaMADS15
DOI: 10.1007/S10827-014-0537-1
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description: scientific article; zbMATH DE number 7041317