Abstract
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 language | English |
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Title of host publication | Brain-Inspired Computing - 4th International Workshop, BrainComp 2019, Revised Selected Papers |
Editors | Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov |
Publisher | Springer |
Pages | 105-115 |
Number of pages | 11 |
ISBN (Print) | 9783030824266 |
DOIs | |
Publication status | Published - 21 Jul 2021 |
Event | 4th International Workshop on Brain-Inspired Computing, BrainComp 2019 - Cetraro, Italy Duration: 15 Jul 2019 → 19 Jul 2019 Conference number: 4 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12339 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 4th International Workshop on Brain-Inspired Computing, BrainComp 2019 |
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Abbreviated title | BrainComp 2019 |
Country/Territory | Italy |
City | Cetraro |
Period | 15/07/19 → 19/07/19 |
Keywords
- Brain-inspired computing
- Image processing
- Inhibition