Computational analysis of a 9D model for a small DRG neuron

Verma, Parul; Kienle, Achim; Flockerzi, Dietrich; Ramkrishna, Doraiswami

doi:10.1007/s10827-020-00761-6

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Computational analysis of a 9D model for a small DRG neuron

Verma, P., Kienle, A., Flockerzi, D., & Ramkrishna, D. (2020). Computational analysis of a 9D model for a small DRG neuron. Journal of Computational Neuroscience, 48, 429-444. doi:10.1007/s10827-020-00761-6.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-F781-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-56E1-A

Genre: Journal Article

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Creators:
Verma, Parul¹, Author
Kienle, Achim^{2, 3}, Author
Flockerzi, Dietrich^{2, 3}, Author
Ramkrishna, Doraiswami¹, Author

Affiliations:
1Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA, ou_persistent22
2Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738153
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156

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Dates: Date issued: 2020

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1007/s10827-020-00761-6

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Title: Journal of Computational Neuroscience

Source Genre: Journal

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Publ. Info: Boston : Kluwer Academic Publishers

Pages: - Volume / Issue: 48 Sequence Number: - Start / End Page: 429 - 444 Identifier: ISSN: 0929-5313
CoNE: https://pure.mpg.de/cone/journals/resource/954925568787