Viewing rate-based neurons as biophysical conductance outputting models

DOI10.1007/978-3-030-19311-9_14OpenAlexW2946394467MaRDI QIDQ2326816

Gunnar Tufte, Martinius Knudsen, Sverre Hendseth, Axel Sandvig

Publication date: 10 October 2019

Full work available at URL: http://hdl.handle.net/11250/2636534

zbMATH Keywords

computational neuroscienceartificial neural networkspiking neural networkconductance models

Mathematics Subject Classification ID

Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10)

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