Orthogonal Representations of Object Shape and Category in Deep Convolutional Neural Networks and Human Visual Cortex
出版年份 2020 全文链接
标题
Orthogonal Representations of Object Shape and Category in Deep Convolutional Neural Networks and Human Visual Cortex
作者
关键词
-
出版物
Scientific Reports
Volume 10, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-02-12
DOI
10.1038/s41598-020-59175-0
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Using neural distance to predict reaction time for categorizing the animacy, shape, and abstract properties of objects
- (2019) J. Brendan Ritchie et al. Scientific Reports
- Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway
- (2018) Barry J. Devereux et al. Scientific Reports
- Deep convolutional networks do not classify based on global object shape
- (2018) Nicholas Baker et al. PLoS Computational Biology
- Representations of regular and irregular shapes by deep Convolutional Neural Networks, monkey inferotemporal neurons and human judgments
- (2018) Ioannis Kalfas et al. PLoS Computational Biology
- On the partnership between neural representations of object categories and visual features in the ventral visual pathway
- (2017) Stefania Bracci et al. NEUROPSYCHOLOGIA
- Disentangling Representations of Object Shape and Object Category in Human Visual Cortex: The Animate–Inanimate Distinction
- (2016) Daria Proklova et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Shape-independent object category responses revealed by MEG and fMRI decoding
- (2016) Daniel Kaiser et al. JOURNAL OF NEUROPHYSIOLOGY
- Dissociations and Associations between Shape and Category Representations in the Two Visual Pathways
- (2016) S. Bracci et al. JOURNAL OF NEUROSCIENCE
- Explicit information for category-orthogonal object properties increases along the ventral stream
- (2016) Ha Hong et al. NATURE NEUROSCIENCE
- Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
- (2016) Radoslaw Martin Cichy et al. Scientific Reports
- Deep Neural Networks as a Computational Model for Human Shape Sensitivity
- (2016) Jonas Kubilius et al. PLoS Computational Biology
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream
- (2015) U. Guclu et al. JOURNAL OF NEUROSCIENCE
- Low-level properties of natural images predict topographic patterns of neural response in the ventral visual pathway
- (2015) Timothy J. Andrews et al. JOURNAL OF VISION
- Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing
- (2015) Nikolaus Kriegeskorte Annual Review of Vision Science
- Low-Level Image Properties of Visual Objects Predict Patterns of Neural Response across Category-Selective Regions of the Ventral Visual Pathway
- (2014) G. E. Rice et al. JOURNAL OF NEUROSCIENCE
- The functional architecture of the ventral temporal cortex and its role in categorization
- (2014) Kalanit Grill-Spector et al. NATURE REVIEWS NEUROSCIENCE
- Performance-optimized hierarchical models predict neural responses in higher visual cortex
- (2014) D. L. K. Yamins et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
- (2014) Charles F. Cadieu et al. PLoS Computational Biology
- Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
- (2014) Seyed-Mahdi Khaligh-Razavi et al. PLoS Computational Biology
- Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons
- (2013) Carlo Baldassi et al. PLoS Computational Biology
- Against hyperacuity in brain reading: Spatial smoothing does not hurt multivariate fMRI analyses?
- (2009) Hans P. Op de Beeck NEUROIMAGE
- Perceived Shape Similarity among Unfamiliar Objects and the Organization of the Human Object Vision Pathway
- (2008) H. P. Op de Beeck et al. JOURNAL OF NEUROSCIENCE
- Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey
- (2008) Nikolaus Kriegeskorte et al. NEURON
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started