A computational platform to assess the metabolic-electrophysiological behaviour of neurons cultured in monolayers

R. Fabbri; A. Ahluwalia; C. Magliaro

doi:10.4081/bse.227

A computational platform to assess the metabolic-electrophysiological behaviour of neurons cultured in monolayers

https://doi.org/10.4081/bse.227

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Vol. 4 No. 1 (2023)

Published: 17 November 2023

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Authors

R. Fabbri Research Center “E. Piaggio”, University of Pisa; Department of Information Engineering (DII), University of Pisa, Italy.
A. Ahluwalia Research Center “E. Piaggio”, University of Pisa; Department of Information Engineering (DII), University of Pisa; Interuniversity Center for the Promotion of 3R Principles in Teaching and Research (Centro 3R), Pisa, Italy.
C. Magliaro Research Center “E. Piaggio”, University of Pisa; Department of Information Engineering (DII), University of Pisa; Interuniversity Center for the Promotion of 3R Principles in Teaching and Research (Centro 3R), Pisa, Italy.

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Fabbri, R., Ahluwalia, A., & Magliaro, C. (2023). A computational platform to assess the metabolic-electrophysiological behaviour of neurons cultured in monolayers. Biomedical Science and Engineering, 4(1). https://doi.org/10.4081/bse.227