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...

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Bibliographic Details
Main Authors: Jacob Huth, Timothée Masquelier, Angelo Arleo
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Neuroinformatics
Subjects:
GPU
Online Access:http://journal.frontiersin.org/article/10.3389/fninf.2018.00009/full

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