Non-replicability circumstances in a neural network model with Hodgkin-Huxley-type neurons

DOI10.1007/s10827-020-00748-3zbMath1451.92012OpenAlexW3033209338WikidataQ96232931 ScholiaQ96232931MaRDI QIDQ2211001

Paulo H. Lopes, Wilfredo Blanco, Michael Mascagni, Anderson Abner de S. Souza

Publication date: 10 November 2020

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-020-00748-3

zbMATH Keywords

neural networknumerical simulationreplicabilityfloating-point precision

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Computational methods for problems pertaining to biology (92-08)

Uses Software

• Boost C++ Libraries
• mctoolbox
• Boost

Cites Work

• Unnamed Item
• Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations
• Accuracy and Stability of Numerical Algorithms

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