Beyond core object recognition: Recurrent processes account for object recognition under occlusion
出版年份 2019 全文链接
标题
Beyond core object recognition: Recurrent processes account for object recognition under occlusion
作者
关键词
Magnetoencephalography, Visual object recognition, Behavior, Human performance, Vision, Information processing, Support vector machines, Recurrent neural networks
出版物
PLoS Computational Biology
Volume 15, Issue 5, Pages e1007001
出版商
Public Library of Science (PLoS)
发表日期
2019-05-16
DOI
10.1371/journal.pcbi.1007001
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization
- (2018) Haiguang Wen et al. Scientific Reports
- Ultra-Rapid serial visual presentation reveals dynamics of feedforward and feedback processes in the ventral visual pathway
- (2018) Yalda Mohsenzadeh et al. eLife
- Recurrent computations for visual pattern completion
- (2018) Hanlin Tang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Representational Dynamics of Facial Viewpoint Encoding
- (2017) Tim C. Kietzmann et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Decoding Dynamic Brain Patterns from Evoked Responses: A Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data
- (2017) Tijl Grootswagers et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models
- (2017) Seyed-Mahdi Khaligh-Razavi et al. JOURNAL OF MATHEMATICAL PSYCHOLOGY
- Decoding information about dynamically occluded objects in visual cortex
- (2017) Gennady Erlikhman et al. NEUROIMAGE
- Distinct Feedforward and Feedback Effects of Microstimulation in Visual Cortex Reveal Neural Mechanisms of Texture Segregation
- (2017) P. Christiaan Klink et al. NEURON
- Decoding the time-course of object recognition in the human brain: From visual features to categorical decisions
- (2017) Erika W. Contini et al. NEUROPSYCHOLOGIA
- Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition
- (2017) Hamid Karimi-Rouzbahani et al. NEUROSCIENCE
- Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition
- (2016) Radoslaw Martin Cichy et al. CEREBRAL CORTEX
- Representational dynamics of object recognition: Feedforward and feedback information flows
- (2016) Erin Goddard et al. NEUROIMAGE
- Brain Mechanisms Underlying the Brief Maintenance of Seen and Unseen Sensory Information
- (2016) Jean-Rémi King et al. NEURON
- 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
- Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
- (2016) Saeed Reza Kheradpisheh et al. Scientific Reports
- 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
- Decoding the emerging representation of degraded visual objects in the human brain.
- (2015) Tijl Grootswagers et al. JOURNAL OF VISION
- The effects of recurrent dynamics on ventral-stream representational geometry
- (2015) Seyed-Mahdi Khaligh-Razavi et al. JOURNAL OF VISION
- A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification
- (2015) Blair Kaneshiro et al. PLoS One
- Functional constraints in the evolution of brain circuits
- (2015) Conrado A. Bosman et al. Frontiers in Neuroscience
- The Role of Visual Area V4 in the Discrimination of Partially Occluded Shapes
- (2014) Y. Kosai et al. JOURNAL OF NEUROSCIENCE
- Object-Specific Semantic Coding in Human Perirhinal Cortex
- (2014) A. Clarke et al. JOURNAL OF NEUROSCIENCE
- Resolving human object recognition in space and time
- (2014) Radoslaw Martin Cichy et al. NATURE NEUROSCIENCE
- Spatiotemporal Dynamics Underlying Object Completion in Human Ventral Visual Cortex
- (2014) Hanlin Tang et al. NEURON
- 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
- Characterizing the dynamics of mental representations: the temporal generalization method
- (2014) J-R. King et al. TRENDS IN COGNITIVE SCIENCES
- Feedforward object-vision models only tolerate small image variations compared to human
- (2014) Masoud Ghodrati et al. Frontiers in Computational Neuroscience
- A Toolbox for Representational Similarity Analysis
- (2014) Hamed Nili et al. PLoS Computational Biology
- 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
- Dynamic information processing states revealed through neurocognitive models of object semantics
- (2014) Alex Clarke Language Cognition and Neuroscience
- The dynamics of invariant object recognition in the human visual system
- (2013) Leyla Isik et al. JOURNAL OF NEUROPHYSIOLOGY
- Topographic Representation of an Occluded Object and the Effects of Spatiotemporal Context in Human Early Visual Areas
- (2013) Hiroshi Ban et al. JOURNAL OF NEUROSCIENCE
- Representational dynamics of object vision: The first 1000 ms
- (2013) T. Carlson et al. JOURNAL OF VISION
- Top-down influences on visual processing
- (2013) Charles D. Gilbert et al. NATURE REVIEWS NEUROSCIENCE
- Representational geometry: integrating cognition, computation, and the brain
- (2013) Nikolaus Kriegeskorte et al. TRENDS IN COGNITIVE SCIENCES
- The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded
- (2012) Dean Wyatte et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- How Does the Brain Solve Visual Object Recognition?
- (2012) James J. DiCarlo et al. NEURON
- Multiple levels of orientation anisotropy in crowding with Gabor flankers
- (2011) T. Livne et al. JOURNAL OF VISION
- Brainstorm: A User-Friendly Application for MEG/EEG Analysis
- (2011) François Tadel et al. Computational Intelligence and Neuroscience
- The Evolution of Meaning: Spatio-temporal Dynamics of Visual Object Recognition
- (2010) Alex Clarke et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Relating population-code representations between man, monkey, and computational models
- (2010) Nikolaus Kriegeskorte Frontiers in Neuroscience
- The Expensive Brain: A framework for explaining evolutionary changes in brain size
- (2009) Karin Isler et al. JOURNAL OF HUMAN EVOLUTION
- The Speed of Categorization in the Human Visual System
- (2009) Simon J. Thorpe NEURON
- Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex
- (2009) Hesheng Liu et al. NEURON
- Time course of amodal completion in face perception
- (2009) Juan Chen et al. VISION RESEARCH
- Latency and Selectivity of Single Neurons Indicate Hierarchical Processing in the Human Medial Temporal Lobe
- (2008) F. Mormann et al. JOURNAL OF NEUROSCIENCE
- Preferential responses to occluded objects in the human visual cortex
- (2008) Jay Hegdé et al. JOURNAL OF VISION
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