Data-driven Koopman operator approach for computational neuroscience
type: Item
instance of: scholarly article
title: Data-driven Koopman operator approach for computational neuroscience
zbMATH Open document ID: 1466.37073
author: Natasza Marrouch
author: Joanna Slawinska
author: Dimitrios Giannakis
author: Heather L. Read
published in: Annals of Mathematics and Artificial Intelligence
publication date: 2021-05-03T00:00:00Z
Mathematics Subject Classification ID: 37N25
Mathematics Subject Classification ID: 37M10
Mathematics Subject Classification ID: 37M25
Mathematics Subject Classification ID: 58C40
Mathematics Subject Classification ID: 30C40
Mathematics Subject Classification ID: 47A35
Mathematics Subject Classification ID: 92C55
zbMATH DE Number: 7342715
zbMATH Keywords: Koopman operator
zbMATH Keywords: spectral decomposition
zbMATH Keywords: nonlinear
zbMATH Keywords: spatio-temporal dynamics
zbMATH Keywords: brain
zbMATH Keywords: mismatch negativity
MaRDI profile type: Publication
full work available at URL: s10472-019-09666-2
OpenAlex ID: W2986903508
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DOI: 10.1007/S10472-019-09666-2
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description: scientific article; zbMATH DE number 7342715