Cortical representation of medial axis structure.
暂无分享,去创建一个
[1] K. Holyoak,et al. A symbolic-connectionist theory of relational inference and generalization. , 2003, Psychological review.
[2] I Biederman,et al. Neurocomputational bases of object and face recognition. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[3] Benjamin B. Kimia,et al. On the role of medial geometry in human vision , 2003, Journal of Physiology-Paris.
[4] D. J. Felleman,et al. Cortical connections of areas V3 and VP of macaque monkey extrastriate visual cortex , 1997, The Journal of comparative neurology.
[5] Hanna Damasio,et al. Predicting visual stimuli on the basis of activity in auditory cortices , 2010, Nature Neuroscience.
[6] Irving Biederman,et al. Where do objects become scenes? , 2010, Cerebral Cortex.
[7] Y. Yamane,et al. Complex objects are represented in macaque inferotemporal cortex by the combination of feature columns , 2001, Nature Neuroscience.
[8] J. Wagemans,et al. Mental rotation versus invariant features in object perception from different viewpoints: an fMRI study , 2002, Neuropsychologia.
[9] M. Tarr,et al. Mental rotation and orientation-dependence in shape recognition , 1989, Cognitive Psychology.
[10] R. Brubaker. Models for the perception of speech and visual form: Weiant Wathen-Dunn, ed.: Cambridge, Mass., The M.I.T. Press, I–X, 470 pages , 1968 .
[11] Richard G. Kurial,et al. Representation and recognition , 1990 .
[12] G. Aguirre,et al. Different spatial scales of shape similarity representation in lateral and ventral LOC. , 2009, Cerebral cortex.
[13] Z Kourtzi,et al. Representation of Perceived Object Shape by the Human Lateral Occipital Complex , 2001, Science.
[14] Irving Biederman,et al. Predicting the psychophysical similarity of faces and non-face complex shapes by image-based measures , 2012, Vision Research.
[15] Keiji Tanaka,et al. Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey , 2008, Neuron.
[16] HARRY BLUM,et al. Shape description using weighted symmetric axis features , 1978, Pattern Recognit..
[17] D. J. Felleman,et al. Receptive field properties of neurons in area V3 of macaque monkey extrastriate cortex. , 1987, Journal of neurophysiology.
[18] Martin I Sereno,et al. Brain mapping in animals and humans , 1998, Current Opinion in Neurobiology.
[19] Keiji Tanaka,et al. Object category structure in response patterns of neuronal population in monkey inferior temporal cortex. , 2007, Journal of neurophysiology.
[20] P. Jolicoeur. The time to name disoriented natural objects , 1985, Memory & cognition.
[21] Manabu Tanifuji,et al. Representation of the spatial relationship among object parts by neurons in macaque inferotemporal cortex. , 2006, Journal of neurophysiology.
[22] Edward F. Ester,et al. Spatially Global Representations in Human Primary Visual Cortex during Working Memory Maintenance , 2009, The Journal of Neuroscience.
[23] I. Biederman,et al. What makes faces special? , 2006, Vision Research.
[24] S. Zeki,et al. Colour coding in rhesus monkey prestriate cortex. , 1973, Brain research.
[25] Jeremy Freeman,et al. Orientation Decoding Depends on Maps, Not Columns , 2011, The Journal of Neuroscience.
[26] Z. Kourtzi,et al. Neural coding of global form in the human visual cortex. , 2008, Journal of neurophysiology.
[27] Andrew T. Smith,et al. The confounding effect of response amplitude on MVPA performance measures , 2011, NeuroImage.
[28] Sabine Kastner,et al. The functional neuroanatomy of object agnosia: A case study , 2010 .
[29] N. Kanwisher,et al. Discrimination Training Alters Object Representations in Human Extrastriate Cortex , 2006, The Journal of Neuroscience.
[30] I Biederman,et al. To what extent can matching algorithms based on direct outputs of spatial filters account for human object recognition? , 1996, Spatial vision.
[31] Leslie G. Ungerleider. Two cortical visual systems , 1982 .
[32] Isabel Gauthier,et al. Dissociating viewpoint costs in mental rotation and object recognition , 2010 .
[33] C. Connor,et al. Shape representation in area V4: position-specific tuning for boundary conformation. , 2001, Journal of neurophysiology.
[34] Donald D. Hoffman,et al. Salience of visual parts , 1997, Cognition.
[35] A. Ishai,et al. Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.
[36] F. Tong,et al. Decoding the visual and subjective contents of the human brain , 2005, Nature Neuroscience.
[37] N. Kanwisher,et al. Only some spatial patterns of fMRI response are read out in task performance , 2007, Nature Neuroscience.
[38] R. Mansfield,et al. Analysis of visual behavior , 1982 .
[39] C. Connor,et al. Population coding of shape in area V4 , 2002, Nature Neuroscience.
[40] Jiye G. Kim,et al. Adaptation in the fusiform face area (FFA): Image or person? , 2009, Vision Research.
[41] I. Biederman,et al. Shape Tuning in Macaque Inferior Temporal Cortex , 2003, The Journal of Neuroscience.
[42] Tamal K. Dey,et al. Defining and computing curve-skeletons with medial geodesic function , 2006, SGP '06.
[43] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[44] Charles E Connor,et al. Underlying principles of visual shape selectivity in posterior inferotemporal cortex , 2004, Nature Neuroscience.
[45] J. Gallant,et al. Natural Stimulus Statistics Alter the Receptive Field Structure of V1 Neurons , 2004, The Journal of Neuroscience.
[46] C. Connor,et al. Responses to contour features in macaque area V4. , 1999, Journal of neurophysiology.
[47] G. Glover,et al. Retinotopic organization in human visual cortex and the spatial precision of functional MRI. , 1997, Cerebral cortex.
[48] Isabel Gauthier,et al. BOLD Activity during Mental Rotation and Viewpoint-Dependent Object Recognition , 2002, Neuron.
[49] B. Tversky,et al. Objects, parts, and categories. , 1984 .
[50] W. Hayward. Effects of outline shape in object recognition , 1998 .
[51] D. C. Essen,et al. Neurons in monkey visual area V2 encode combinations of orientations , 2007, Nature Neuroscience.
[52] Raymond J. Dolan,et al. fMRI Activity Patterns in Human LOC Carry Information about Object Exemplars within Category , 2008, Journal of Cognitive Neuroscience.
[53] A. Caramazza,et al. Category-Specific Organization in the Human Brain Does Not Require Visual Experience , 2009, Neuron.
[54] S Thesen,et al. Prospective acquisition correction for head motion with image‐based tracking for real‐time fMRI , 2000, Magnetic resonance in medicine.
[55] I. Biederman. Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.
[56] David D. Cox,et al. Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex , 2003, NeuroImage.
[57] M. Just,et al. Eye fixations and cognitive processes , 1976, Cognitive Psychology.
[58] J. B. Levitt,et al. Functional properties of neurons in macaque area V3. , 1997, Journal of neurophysiology.
[59] M. Chun,et al. Dissociable neural mechanisms supporting visual short-term memory for objects , 2006, Nature.
[60] Raul Rodriguez-Esteban,et al. Global optimization of cerebral cortex layout. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[61] I. Biederman,et al. Dynamic binding in a neural network for shape recognition. , 1992, Psychological review.
[62] Stefan Pollmann,et al. Neuroinformatics Original Research Article Pymvpa: a Unifying Approach to the Analysis of Neuroscientifi C Data , 2022 .
[63] Joachim M. Buhmann,et al. Distortion Invariant Object Recognition in the Dynamic Link Architecture , 1993, IEEE Trans. Computers.
[64] D. Marr,et al. Representation and recognition of the spatial organization of three-dimensional shapes , 1978, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[65] M. Farah,et al. Distinct Patterns of Viewpoint-Dependent BOLD Activity during Common-Object Recognition and Mental Rotation , 2006, Perception.
[66] I. Biederman,et al. Tuning for shape dimensions in macaque inferior temporal cortex , 2005, The European journal of neuroscience.
[67] R. Savoy. Functional Magnetic Resonance Imaging (fMRI) , 2002 .
[68] D. J. Felleman,et al. Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.
[69] Johan Wagemans,et al. Perceived Shape Similarity among Unfamiliar Objects and the Organization of the Human Object Vision Pathway , 2008, The Journal of Neuroscience.
[70] D G Pelli,et al. The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.
[71] Rainer Goebel,et al. Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single‐subject to cortically aligned group general linear model analysis and self‐organizing group independent component analysis , 2006, Human brain mapping.
[72] D. Mumford,et al. The role of the primary visual cortex in higher level vision , 1998, Vision Research.
[73] S. Edelman,et al. Differential Processing of Objects under Various Viewing Conditions in the Human Lateral Occipital Complex , 1999, Neuron.
[74] H. D. Peters. The Wechsler Intelligence Scale for Children Revised: A Review. , 1975 .
[75] M. Behrmann,et al. Independent representation of parts and the relations between them: evidence from integrative agnosia. , 2006, Journal of experimental psychology. Human perception and performance.
[76] I. Biederman,et al. Recognizing depth-rotated objects: Evidence and conditions for three-dimensional viewpoint invariance. , 1993 .
[77] I. Biederman,et al. Priming contour-deleted images: Evidence for intermediate representations in visual object recognition , 1991, Cognitive Psychology.
[78] Manish Singh,et al. Bayesian estimation of the shape skeleton , 2010 .
[79] I. Biederman,et al. Neural encoding of relative position. , 2011, Journal of experimental psychology. Human perception and performance.
[80] J. Gallant,et al. Identifying natural images from human brain activity , 2008, Nature.
[81] Deborah Silver,et al. Curve-Skeleton Properties, Applications, and Algorithms , 2007, IEEE Trans. Vis. Comput. Graph..
[82] I. Biederman,et al. Neural evidence for intermediate representations in object recognition , 2006, Vision Research.
[83] D. Chklovskii,et al. Maps in the brain: what can we learn from them? , 2004, Annual review of neuroscience.