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Autore: |
Beeck Hans Op de <1975-, >
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Titolo: |
Integrating computational and neural findings in visual object perception
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Pubblicazione: | Frontiers Media SA, 2016 |
Descrizione fisica: | 1 electronic resource (137 p.) |
Soggetto non controllato: | object recognition |
fMRI | |
multimodal data integration | |
neural networks | |
invariance | |
computational neuroscience | |
Computer Vision | |
Feature representation | |
Neurophysiology | |
ventral visual pathway | |
Persona (resp. second.): | PetersJudith C |
GoebelRainer | |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Integrating computational and neural findings in visual object perception ![]() |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910166647303321 |
Lo trovi qui: | Univ. Federico II |
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