A common goodness-of-fit framework for neural population models using marked point process time-rescaling
type: Item
instance of: scholarly article
title: A common goodness-of-fit framework for neural population models using marked point process time-rescaling
zbMATH Open document ID: 1402.92120
author: Long Tao
author: Karoline E. Weber
author: Kensuke Arai
author: Uri T. Eden
published in: Journal of Computational Neuroscience
publication date: 2018-12-04T00:00:00Z
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6988381
zbMATH Keywords: neural modeling
zbMATH Keywords: neural population activity
zbMATH Keywords: spike trains
zbMATH Keywords: goodness-of-fit
zbMATH Keywords: time-rescaling
zbMATH Keywords: KS plots
Wikidata QID: Q57294737
describes a project that uses: Matlab
describes a project that uses: spatstat
describes a project that uses: spatial
describes a project that uses: Python
describes a project that uses: GitHub
MaRDI profile type: Publication
full work available at URL: s10827-018-0698-4
OpenAlex ID: W2950731900
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DOI: 10.1007/S10827-018-0698-4
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description: scientific article; zbMATH DE number 6988381