Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing
We developed Convis, a Python simulation toolbox for large scale neural populations which offers arbitrary receptive fields by 3D convolutions executed on a graphics card. The resulting software proves to be flexible and easily extensible in Python, while building on the PyTorch library (The Pytorch...
Main Authors: | Jacob Huth, Timothée Masquelier, Angelo Arleo |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-03-01
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Series: | Frontiers in Neuroinformatics |
Subjects: | |
Online Access: | http://journal.frontiersin.org/article/10.3389/fninf.2018.00009/full |
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