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

Hernan Barijhoff, Rosana Matuk Herrera

Keywords: computer vision, artificial neural networks, bio-inspired models, 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.

Decision: accept