University of Padua

Computer code for analysis of mixed-oscillations in cortical neurons

Martin, Matteo and Pedersen, Morten Gram (2024) Computer code for analysis of mixed-oscillations in cortical neurons. [Data Collection]

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Collection description

XPPAUT and MATLAB files used in the work "Modelling and analysis of cAMP-induced mixed-mode oscillations in cortical neurons: Critical roles of HCN and M-type potassium channels" by Matteo Martin and Morten G Pedersen (PLoS Computational Biology, 2024)

DOI: 10.25430/researchdata.cab.unipd.it.00001180
Keywords: MATLAB, XPPAUT, mixed-mode oscillations, slow manifold construction.
Subjects: Life Sciences > Neuroscience and Neural Disorders: Neural cell function and signalling, systems neuroscience, neural bases of cognitive and behavioural processes, neurological and psychiatric disorders > Systems neuroscience and computational neuroscience (e.g. neural networks, neural modelling
Physical:Sciences and Engineering > Mathematics: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics > ODE and dynamical systems
Physical:Sciences and Engineering > Mathematics: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics > Application of mathematics in sciences
Physical:Sciences and Engineering > Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering > Simulation engineering and modelling
Department: Departments > Dipartimento di Ingegneria dell'Informazione (DEI)
Depositing User: Morten Gram Pedersen
Date Deposited: 02 Feb 2024 13:13
Last Modified: 02 Feb 2024 13:13
Creators/Authors:
CreatorsEmailORCID
Martin, Matteomatteo.martin.2@phd.unipd.itUNSPECIFIED
Pedersen, Morten Grammortengram.pedersen@unipd.itorcid.org/0000-0002-2639-2394
Type of data: Code
Collection period:
FromTo
20232024
Resource language: XPPAUT
Metadata language: MATLAB
Publisher: Research Data Unipd
Related publications:
Date: 26 January 2024
Copyright holders: The Author
URI: https://researchdata.cab.unipd.it/id/eprint/1194

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