Integrating Computational and Neural Findings in Visual Object Perception
Material type: ArticleLanguage: English Publication details: Frontiers Media SA 2016Description: 1 electronic resource (137 p.)ISBN:- 978-2-88919-873-3
- 9782889198733
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
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Electronic-Books | OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online access
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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