Brain-Inspired Algorithms for Processing of Visual Data

Nicola Strisciuglio*, Nicolai Petkov

*Corresponding author for this work

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The study of the visual system of the brain has attracted the attention and interest of many neuro-scientists, that derived computational models of some types of neuron that compose it. These findings inspired researchers in image processing and computer vision to deploy such models to solve problems of visual data processing. In this paper, we review approaches for image processing and computer vision, the design of which is based on neuro-scientific findings about the functions of some neurons in the visual cortex. Furthermore, we analyze the connection between the hierarchical organization of the visual system of the brain and the structure of Convolutional Networks (ConvNets). We pay particular attention to the mechanisms of inhibition of the responses of some neurons, which provide the visual system with improved stability to changing input stimuli, and discuss their implementation in image processing operators and in ConvNets.

Original languageEnglish
Title of host publicationBrain-Inspired Computing - 4th International Workshop, BrainComp 2019, Revised Selected Papers
EditorsKatrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Number of pages11
ISBN (Print)9783030824266
Publication statusPublished - 21 Jul 2021
Event4th International Workshop on Brain-Inspired Computing, BrainComp 2019 - Cetraro, Italy
Duration: 15 Jul 201919 Jul 2019
Conference number: 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12339 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Workshop on Brain-Inspired Computing, BrainComp 2019
Abbreviated titleBrainComp 2019


  • Brain-inspired computing
  • Image processing
  • Inhibition


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