TY  - GEN
AU  - Hans P.Op de Beeck
AU  - Judith C.Peters
AU  - Rainer Goebel
TI  - Integrating Computational and Neural Findings in Visual Object Perception
SN  - 978-2-88919-873-3
PY  - 2016///
PB  - Frontiers Media SA
KW  - object recognition
KW  - fMRI
KW  - multimodal data integration
KW  - neural networks
KW  - invariance
KW  - computational neuroscience
KW  - Computer Vision
KW  - Feature representation
KW  - Neurophysiology
KW  - ventral visual pathway
N1  - Open Access
N2  - 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
UR  - http://journal.frontiersin.org/researchtopic/1618/integrating-computational-and-neural-findings-in-visual-object-perception
UR  - https://directory.doabooks.org/handle/20.500.12854/50380
ER  -