Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model-Reference-Cited by-同舟云学术

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Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model

Published:2020-07-07 Issue: Volume:14 Page:
ISSN:1662-5196
Container-title:Frontiers in Neuroinformatics
language:
Short-container-title:Front. Neuroinform.

Author:

Wichert Ines,Jee Sanghun,De Schutter Erik,Hong Sungho

Funder

Okinawa Institute of Science and Technology Graduate University

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)

Reference29 articles.

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4. Fast Poisson disk sampling in arbitrary dimensions;Bridson;ACM SIGGRAPH 2007 sketches on - SIGGRAPH ’07,2007

5. Reconstruction and simulation of a scaffold model of the cerebellar network.;Casali;Front. Neuroinformatics,2019

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