Integrating Computational and Neural Findings in Visual Object Perception
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 br...
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| Հիմնական հեղինակներ: | , , |
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| Ձևաչափ: | Online |
| Լեզու: | անգլերեն |
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Frontiers Media SA
2021
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| Խորագրեր: | |
| Առցանց հասանելիություն: | 18260 |
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| _version_ | 1869516846974107648 |
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| author | Hans P. Op de Beeck Judith C. Peters Rainer Goebel |
| author_browse | Hans P. Op de Beeck Judith C. Peters Rainer Goebel |
| author_facet | Hans P. Op de Beeck Judith C. Peters Rainer Goebel |
| author_sort | Hans P. Op de Beeck |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-50380 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-503802024-04-05T12:35:42Z Integrating Computational and Neural Findings in Visual Object Perception Hans P. Op de Beeck Judith C. Peters Rainer Goebel RC321-571 Q1-390 object recognition fMRI multimodal data integration neural networks invariance computational neuroscience Computer Vision Feature representation Neurophysiology ventral visual pathway thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences 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. 2021-02-11T16:22:54Z 2021-02-11T16:22:54Z 2016-01-19 14:05:46 2016 book 18260 16648714 9782889198733 https://directory.doabooks.org/handle/20.500.12854/50380 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Integrating_Computational_and_Neural_Findings_in_Visual_Object_Perception/910#nogo http://journal.frontiersin.org/researchtopic/1618/integrating-computational-and-neural-findings-in-visual-object-perception Frontiers Media SA 10.3389/978-2-88919-873-3 10.3389/978-2-88919-873-3 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889198733 137 open access |
| spellingShingle | RC321-571 Q1-390 object recognition fMRI multimodal data integration neural networks invariance computational neuroscience Computer Vision Feature representation Neurophysiology ventral visual pathway thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Hans P. Op de Beeck Judith C. Peters Rainer Goebel Integrating Computational and Neural Findings in Visual Object Perception |
| title | Integrating Computational and Neural Findings in Visual Object Perception |
| title_full | Integrating Computational and Neural Findings in Visual Object Perception |
| title_fullStr | Integrating Computational and Neural Findings in Visual Object Perception |
| title_full_unstemmed | Integrating Computational and Neural Findings in Visual Object Perception |
| title_short | Integrating Computational and Neural Findings in Visual Object Perception |
| title_sort | integrating computational and neural findings in visual object perception |
| topic | RC321-571 Q1-390 object recognition fMRI multimodal data integration neural networks invariance computational neuroscience Computer Vision Feature representation Neurophysiology ventral visual pathway thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 object recognition fMRI multimodal data integration neural networks invariance computational neuroscience Computer Vision Feature representation Neurophysiology ventral visual pathway thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 18260 |
| work_keys_str_mv | AT hanspopdebeeck integratingcomputationalandneuralfindingsinvisualobjectperception AT judithcpeters integratingcomputationalandneuralfindingsinvisualobjectperception AT rainergoebel integratingcomputationalandneuralfindingsinvisualobjectperception |