PyLissom: A tool for modeling computational maps of the visual cortex in PyTorch

PyLissom: A tool for modeling computational maps of the visual cortex in PyTorch

Abstract

Despite impressive advancements in the last years, human vision is still much more robust than machine vision. This article presents PyLissom, a novel software library for the modeling of the cortex maps in the visual system. The software was implemented in PyTorch, a modern deep learning framework, and it allows full integration with other PyTorch modules. We hypothesize that PyLissom could act as a bridge between the neuroscience and machine learning communities, driving to advancements in both fields.

Publication
32nd Conference on Neural Information Processing Systems (NIPS 2018), Workshop MLOSS, Montréal, Canada.
Date

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