Brain-Inspired Computer Vision

Dear Colleagues,

Visual perception and analysis in mammal, and especially the primate visual system, is a complex process performed by the various elements of the brain. After the pioneering experiments of Hubel and Wiesel (1962), the visual cortex has been used as a source of inspiration for developing algorithms that can be applied in computer vision tasks, such as finding objects, analyzing motion, identifying or detecting instances, reconstructing scenes or restoring images. One of the most challenging goals in computer vision is, therefore, to design and develop algorithms that can process visual information as humans do.

The main aim of this Special Issue is to bring together researchers from the diverse fields of computer science (computer and robot vision, pattern recognition, machine learning, artificial intelligence, high performance computing and visualization) who aim to model different phenomena of the visual system of the brain. We look forward to receiving the current and next generation of brain system modelling for a wide range of vision related applications. This Special Issue aims to comprise powerful, innovative and modern image analysis algorithms and tools inspired by the function and biology of the visual system of the brain.

Besides the technologies used, emphasis will be given to the precise problem definition, the available benchmark databases, the need of evaluation protocols and procedures in the context of brain-inspired computer vision methods and applications.

Papers are solicited in, but not limited to, the following topics:

• Mathematical models of visual perception.
• Brain-inspired algorithms.
• Learning: Deep learning, recurrent networks, differentiable neural computers, sparse coding.
• The appearance of neuronal properties: Sparsity and selectivity.
• Selecting where to look: Saliency, attention and active vision.
• Hierarchy of visual cortex areas.
• Feedforward, feedback and inhibitory mechanisms.
• Neuromorphic computing.
• Applications: Object recognition, object tracking, medical image analysis, contour detection and segmentation, interactions between vision and other aeras (e.g., pre-grasping, motor areas) depth and motion analysis.

Dr. Alessia Saggese
Dr. Antonio Rodríguez-Sánchez
Dr. George Azzopardi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Computational Neuroscience
• Biological plausibility and inspiration
• Computer Vision
• Visual Cortex
• Machine and Deep Learning
• Medical image analysis
• Neuromorphic computers