Computational framework of the visual sensory system based on neuroscientific evidence of the ventral pathway

Abstract

The visual system provides with relevant information to create an internal representation of the environment and with this information to make decisions. Visual information is primarily processed in the visual cortex, where neurons react to certain visual features. In computational neuroscience and artificial vision, the study and modeling of vision processes is a topic of great interest since the human visual system can process a great diversity of stimuli in a wide variety of conditions.In this work, we propose a computational framework inspired by the human visual system, that integrates models obtained from neuroscience to describe aspects of vision such as color processing and shape processing and thus contribute to formulating a general vision system and incorporating it into artificial entities in order to approximate human behavior.This system covers the early stages of visual sensory processing, in addition to intermediate processing stages, and considers connections with other cognitive functions within a cognitive architecture. In this proposal, the model is formally described, and the results obtained are analyzed qualitatively to later weigh the considerations for the expansion of this framework.