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Integrating Computational and Neural Findings in Visual Object Perception
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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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Keywords
- Biology, Life Sciences
- Computational neuroscience
- Computer vision
- Feature representation
- fMRI
- invariance
- Life sciences: general issues
- Mathematics & science
- multimodal data integration
- neural networks
- Neurophysiology
- Neurosciences
- object recognition
- thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
- ventral visual pathway