Integrating Computational and Neural Findings in Visual Object Perception

Integrating Computational and Neural Findings in Visual Object Perception
Author :
Publisher : Frontiers Media SA
Total Pages : 139
Release :
ISBN-10 : 9782889198733
ISBN-13 : 2889198731
Rating : 4/5 (731 Downloads)

Book Synopsis Integrating Computational and Neural Findings in Visual Object Perception by : Judith C. Peters

Download or read book Integrating Computational and Neural Findings in Visual Object Perception written by Judith C. Peters and published by Frontiers Media SA. This book was released on 2016-06-29 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles in this Research Topic provide a state-of-the-art overview of the current progress in integrating computational and empirical research on visual object recognition. Developments in this exciting multidisciplinary field have recently gained momentum: High performance computing enabled breakthroughs in computer vision and computational neuroscience. In parallel, innovative machine learning applications have recently become available for datamining the large-scale, high resolution brain data acquired with (ultra-high field) fMRI and dense multi-unit recordings. Finally, new techniques to integrate such rich simulated and empirical datasets for direct model testing could aid the development of a comprehensive brain model. We hope that this Research Topic contributes to these encouraging advances and inspires future research avenues in computational and empirical neuroscience.


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