"Pycabnn: Efficient and Extensible Software to Construct an Anatomical ..."

Ines Wichert et al. (2020)

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DOI: 10.3389/FNINF.2020.00031

access: open

type: Journal Article

metadata version: 2024-02-05

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Ines Wichert, Sanghun Jee, Erik De Schutter, Sungho Hong:
Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model. Frontiers Neuroinformatics 14: 31 (2020)

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