Shape coding in occipito-temporal cortex relies on object silhouette, curvature and medial-axis.
暂无分享,去创建一个
Pietro Pietrini | Andrea Leo | Luca Cecchetti | Giacomo Handjaras | Emiliano Ricciardi | Paolo Papale | P. Pietrini | E. Ricciardi | Andrea Leo | G. Handjaras | L. Cecchetti | P. Papale
[1] R. Desimone,et al. Stimulus-selective properties of inferior temporal neurons in the macaque , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[2] Emiliano Ricciardi,et al. Emotionotopy in the human right temporo-parietal cortex , 2019, Nature Communications.
[3] Eric T. Carlson,et al. Medial Axis Shape Coding in Macaque Inferotemporal Cortex , 2012, Neuron.
[4] Daria Proklova,et al. Disentangling Representations of Object Shape and Object Category in Human Visual Cortex: The Animate–Inanimate Distinction , 2016, Journal of Cognitive Neuroscience.
[5] James H Elder,et al. Cue dynamics underlying rapid detection of animals in natural scenes. , 2009, Journal of vision.
[6] Keiji Tanaka. Columns for complex visual object features in the inferotemporal cortex: clustering of cells with similar but slightly different stimulus selectivities. , 2003, Cerebral cortex.
[7] Leslie G. Ungerleider,et al. Curvature-processing network in macaque visual cortex , 2014, Proceedings of the National Academy of Sciences.
[8] Jack L. Gallant,et al. Fourier power, subjective distance, and object categories all provide plausible models of BOLD responses in scene-selective visual areas , 2015, Front. Comput. Neurosci..
[9] Bruno Rossion,et al. The fusiform face area is tuned for curvilinear patterns with more high-contrasted elements in the upper part , 2006, NeuroImage.
[10] Victor A. F. Lamme,et al. Spatially Pooled Contrast Responses Predict Neural and Perceptual Similarity of Naturalistic Image Categories , 2012, PLoS Comput. Biol..
[11] Rainer Goebel,et al. Information-based functional brain mapping. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[12] Chris I. Baker,et al. Evaluating the correspondence between face-, scene-, and object-selectivity and retinotopic organization within lateral occipitotemporal cortex , 2016, Journal of vision.
[13] John A. Pyles,et al. Comparing visual representations across human fMRI and computational vision. , 2013, Journal of vision.
[14] Z Kourtzi,et al. Representation of Perceived Object Shape by the Human Lateral Occipital Complex , 2001, Science.
[15] J M Wolfe,et al. Curvature is a Basic Feature for Visual Search Tasks , 1992, Perception.
[16] Vladislav Ayzenberg,et al. Skeletal descriptions of shape provide unique perceptual information for object recognition , 2019, bioRxiv.
[17] Michelle R. Greene,et al. Visual scenes are categorized by function. , 2016, Journal of experimental psychology. General.
[18] Anitha Pasupathy,et al. Transformation of shape information in the ventral pathway , 2007, Current Opinion in Neurobiology.
[19] Marlene Behrmann,et al. Altered large-scale organization of shape processing in visual agnosia , 2020, Cortex.
[20] Sidney R. Lehky,et al. Dimensionality of Object Representations in Monkey Inferotemporal Cortex , 2014, Neural Computation.
[21] Stephen M. Smith,et al. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.
[22] Tom Hartley,et al. Low-Level Image Properties of Visual Objects Predict Patterns of Neural Response across Category-Selective Regions of the Ventral Visual Pathway , 2014, The Journal of Neuroscience.
[23] Charles E Connor,et al. Underlying principles of visual shape selectivity in posterior inferotemporal cortex , 2004, Nature Neuroscience.
[24] H. P. Op de Beeck,et al. Dissociations and Associations between Shape and Category Representations in the Two Visual Pathways , 2015, The Journal of Neuroscience.
[25] Tomaso Poggio,et al. Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex , 2007, The Journal of Neuroscience.
[26] Selmaan N. Chettih,et al. Single-neuron perturbations reveal feature-specific competition in V1 , 2019, Nature.
[27] S. Edelman,et al. Differential Processing of Objects under Various Viewing Conditions in the Human Lateral Occipital Complex , 1999, Neuron.
[28] H. Komatsu,et al. Image statistics underlying natural texture selectivity of neurons in macaque V4 , 2014, Proceedings of the National Academy of Sciences.
[29] K. Grill-Spector,et al. The functional architecture of the ventral temporal cortex and its role in categorization , 2014, Nature Reviews Neuroscience.
[30] Emiliano Ricciardi,et al. Foreground-Background Segmentation Revealed during Natural Image Viewing , 2017, eNeuro.
[31] Alex R. Wade,et al. Multivariate Patterns in the Human Object-Processing Pathway Reveal a Shift from Retinotopic to Shape Curvature Representations in Lateral Occipital Areas, LO-1 and LO-2 , 2016, The Journal of Neuroscience.
[32] D C Van Essen,et al. Information processing in the primate visual system: an integrated systems perspective. , 1992, Science.
[33] Emiliano Ricciardi,et al. Modality-independent encoding of individual concepts in the left parietal cortex , 2017, Neuropsychologia.
[34] Jack L. Gallant,et al. Pycortex: an interactive surface visualizer for fMRI , 2015, Front. Neuroinform..
[35] P. Roelfsema,et al. The Segmentation of Proto-Objects in the Monkey Primary Visual Cortex , 2019, Current Biology.
[36] J Brendan Ritchie,et al. The Ventral Visual Pathway Represents Animal Appearance over Animacy, Unlike Human Behavior and Deep Neural Networks , 2019, The Journal of Neuroscience.
[37] Arnold W. M. Smeulders,et al. Visual dictionaries as intermediate features in the human brain , 2015, Front. Comput. Neurosci..
[38] J L Gallant,et al. Sparse coding and decorrelation in primary visual cortex during natural vision. , 2000, Science.
[39] Tomaso Poggio,et al. Models of object recognition , 2000, Nature Neuroscience.
[40] Marlene Behrmann,et al. Correction: The large-scale organization of shape processing in the ventral and dorsal pathways. , 2017 .
[41] Barbara L. Finlay,et al. Systematic, balancing gradients in neuron density and number across the primate isocortex , 2012, Front. Neuroanat..
[42] Radoslaw Martin Cichy,et al. The representational dynamics of task and object processing in humans , 2018, eLife.
[43] Frédéric E Theunissen,et al. The Hierarchical Cortical Organization of Human Speech Processing , 2017, The Journal of Neuroscience.
[44] John A. Creager,et al. Comments: Orthogonal and Nonorthogonal Methods for Partitioning Regression Variance , 1971 .
[45] T. Poggio,et al. A model of V4 shape selectivity and invariance. , 2007, Journal of neurophysiology.
[46] F. D. Lange,et al. Shape Perception Simultaneously Up- and Downregulates Neural Activity in the Primary Visual Cortex , 2014, Current Biology.
[47] Sven J. Dickinson,et al. Canonical Skeletons for Shape Matching , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[48] Kim F. Nimon,et al. Understanding the Results of Multiple Linear Regression , 2013 .
[49] I. Biederman,et al. Tuning for shape dimensions in macaque inferior temporal cortex , 2005, The European journal of neuroscience.
[50] Mark Hymers,et al. Specialized and independent processing of orientation and shape in visual field maps LO1 and LO2 , 2013, Nature Neuroscience.
[51] H. Blum. Biological shape and visual science (part I) , 1973 .
[52] I. Biederman,et al. Representation of regular and irregular shapes in macaque inferotemporal cortex. , 2005, Cerebral cortex.
[53] R. Vogels,et al. Inferotemporal neurons represent low-dimensional configurations of parameterized shapes , 2001, Nature Neuroscience.
[54] Adam S. Lowet,et al. Seeing structure: Shape skeletons modulate perceived similarity , 2018, Attention, perception & psychophysics.
[55] Ha Hong,et al. Explicit information for category-orthogonal object properties increases along the ventral stream , 2016, Nature Neuroscience.
[56] Marius V Peelen,et al. Shape-independent object category responses revealed by MEG and fMRI decoding. , 2016, Journal of neurophysiology.
[57] Irving Biederman,et al. Cortical representation of medial axis structure. , 2013, Cerebral cortex.
[58] Kechen Zhang,et al. A Sparse Object Coding Scheme in Area V4 , 2011, Current Biology.
[59] Pieter R. Roelfsema,et al. Texture Segregation Causes Early Figure Enhancement and Later Ground Suppression in Areas V1 and V4 of Visual Cortex , 2016, Cerebral cortex.
[60] A. Ishai,et al. Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.
[61] Lucy S. Petro,et al. Contextual Feedback to Superficial Layers of V1 , 2015, Current Biology.
[62] Ninon Burgos,et al. New advances in the Clinica software platform for clinical neuroimaging studies , 2019 .
[63] Li Fei-Fei,et al. Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior , 2018, eLife.
[64] Philip N. Klein,et al. Recognition of shapes by editing their shock graphs , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[65] Jonas Kubilius,et al. Deep Neural Networks as a Computational Model for Human Shape Sensitivity , 2016, PLoS Comput. Biol..
[66] N. Kanwisher,et al. The lateral occipital complex and its role in object recognition , 2001, Vision Research.
[67] Natalia Y. Bilenko,et al. The “Parahippocampal Place Area” Responds Preferentially to High Spatial Frequencies in Humans and Monkeys , 2011, PLoS biology.
[68] Eero P. Simoncelli,et al. Selectivity and tolerance for visual texture in macaque V2 , 2016, Proceedings of the National Academy of Sciences.
[69] Talia Konkle,et al. Mid-level visual features underlie the high-level categorical organization of the ventral stream , 2018, Proceedings of the National Academy of Sciences.
[70] Stella F. Lourenco,et al. Skeletal representations of shape in human vision: Evidence for a pruned medial axis model , 2019, Journal of vision.
[71] R W Cox,et al. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.
[72] Keiji Tanaka,et al. Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey , 2008, Neuron.
[73] Alex R. Wade,et al. Global shape aftereffects in composite radial frequency patterns. , 2016, Journal of vision.
[74] Kim Nimon,et al. An R package to compute commonality coefficients in the multiple regression case: An introduction to the package and a practical example , 2008, Behavior research methods.
[75] Nikolaus Kriegeskorte,et al. Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation , 2014, PLoS Comput. Biol..
[76] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[77] George A Alvarez,et al. Mid-level perceptual features contain early cues to animacy. , 2017, Journal of vision.
[78] Björn Ommer,et al. Beyond straight lines — Object detection using curvature , 2011, 2011 18th IEEE International Conference on Image Processing.
[79] Luca Turella,et al. Common spatiotemporal processing of visual features shapes object representation , 2018, Scientific Reports.