Examining Similarity Structure: Multidimensional Scaling and Related Approaches in Neuroimaging
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[1] M. Ida Gobbini,et al. Three Virtues of Similarity-based Multivariate Pattern Analysis : An example from the human object vision pathway , 2014 .
[2] Radoslaw Martin Cichy,et al. Probing principles of large‐scale object representation: Category preference and location encoding , 2013, Human brain mapping.
[3] Jing Wang,et al. Decoding abstract and concrete concept representations based on single‐trial fMRI data , 2013, Human brain mapping.
[4] Sébastien Hélie,et al. Brain activity across the development of automatic categorization: A comparison of categorization tasks using multi-voxel pattern analysis , 2013, NeuroImage.
[5] Michael C. Hout,et al. Multidimensional Scaling , 2003, Encyclopedic Dictionary of Archaeology.
[6] Wim Vanduffel,et al. Stimulus representations in body-selective regions of the macaque cortex assessed with event-related fMRI , 2012, NeuroImage.
[7] Xi-Nian Zuo,et al. Generalized RAICAR: Discover homogeneous subject (sub)groups by reproducibility of their intrinsic connectivity networks , 2012, NeuroImage.
[8] Bernard Mazoyer,et al. Disentangling the brain networks supporting affective speech comprehension , 2012, NeuroImage.
[9] Shimon Edelman,et al. Renewing the respect for similarity , 2012, Front. Comput. Neurosci..
[10] Marcel Adam Just,et al. Exploring commonalities across participants in the neural representation of objects , 2012, Human brain mapping.
[11] James D. Malley,et al. Using Multivariate Machine Learning Methods and Structural MRI to Classify Childhood Onset Schizophrenia and Healthy Controls , 2012, Front. Psychiatry.
[12] Hervé Abdi,et al. Multiple Subject Barycentric Discriminant Analysis (MUSUBADA): How to Assign Scans to Categories without Using Spatial Normalization , 2012, Comput. Math. Methods Medicine.
[13] Rajeev D. S. Raizada,et al. What Makes Different People's Representations Alike: Neural Similarity Space Solves the Problem of Across-subject fMRI Decoding , 2012, Journal of Cognitive Neuroscience.
[14] Hervé Abdi,et al. Optimizing preprocessing and analysis pipelines for single‐subject fMRI. I. Standard temporal motion and physiological noise correction methods , 2012, Human brain mapping.
[15] Hervé Abdi,et al. STATIS and DISTATIS: optimum multitable principal component analysis and three way metric multidimensional scaling , 2012 .
[16] J. S. Guntupalli,et al. The Representation of Biological Classes in the Human Brain , 2012, The Journal of Neuroscience.
[17] Johan Wagemans,et al. RETRACTED: The visual word form area is organized according to orthography , 2012, NeuroImage.
[18] Jing Wang,et al. Decoding the neural representation of affective states , 2012, NeuroImage.
[19] Michael S. Pratte,et al. Decoding patterns of human brain activity. , 2012, Annual review of psychology.
[20] Raghu Machiraju,et al. Spatio-temporal models of mental processes from fMRI , 2011, NeuroImage.
[21] Naokazu Goda,et al. Transformation from image-based to perceptual representation of materials along the human ventral visual pathway , 2011, NeuroImage.
[22] Sidney R. Lehky,et al. Frontiers in Computational Neuroscience Computational Neuroscience , 2022 .
[23] Tom M. Mitchell,et al. Commonality of neural representations of words and pictures , 2011, NeuroImage.
[24] Johan Wagemans,et al. Distributed subordinate specificity for bodies, faces, and buildings in human ventral visual cortex , 2010, NeuroImage.
[25] Tom Michael Mitchell,et al. A Neurosemantic Theory of Concrete Noun Representation Based on the Underlying Brain Codes , 2010, PloS one.
[26] Jonathan D. Cohen,et al. Reproducibility Distinguishes Conscious from Nonconscious Neural Representations , 2010, Science.
[27] G. Aguirre,et al. Different spatial scales of shape similarity representation in lateral and ventral LOC. , 2009, Cerebral cortex.
[28] Kurt Hornik,et al. Generalized and Customizable Sets in R , 2009 .
[29] Scott Makeig,et al. High-frequency Broadband Modulations of Electroencephalographic Spectra , 2009, Front. Hum. Neurosci..
[30] N. Kriegeskorte,et al. Revealing representational content with pattern-information fMRI--an introductory guide. , 2009, Social cognitive and affective neuroscience.
[31] Tom M. Mitchell,et al. Machine learning classifiers and fMRI: A tutorial overview , 2009, NeuroImage.
[32] Hervé Abdi,et al. How to compute reliability estimates and display confidence and tolerance intervals for pattern classifiers using the Bootstrap and 3-way multidimensional scaling (DISTATIS) , 2009, NeuroImage.
[33] Kâmil Uğurbil,et al. Cerebral cortical mechanisms of copying geometrical shapes: a multidimensional scaling analysis of fMRI patterns of activation , 2009, Experimental Brain Research.
[34] Sharon L. Thompson-Schill,et al. Predicting judged similarity of natural categories from their neural representations , 2009, Neuropsychologia.
[35] Hans-Friedrich Köhn,et al. Cluster analysis: A toolbox for MATLAB. , 2009 .
[36] Keiji Tanaka,et al. Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey , 2008, Neuron.
[37] Hyunsu Bae,et al. Evidence Based Complementary and Alternative Medicine , 2008, Evidence-based complementary and alternative medicine : eCAM.
[38] Johan Wagemans,et al. Perceived Shape Similarity among Unfamiliar Objects and the Organization of the Human Object Vision Pathway , 2008, The Journal of Neuroscience.
[39] N. Kanwisher,et al. Multivariate Patterns in Object-Selective Cortex Dissociate Perceptual and Physical Shape Similarity , 2008, PLoS biology.
[40] Tom Michael Mitchell,et al. Predicting Human Brain Activity Associated with the Meanings of Nouns , 2008, Science.
[41] Nikolaus Kriegeskorte,et al. Frontiers in Systems Neuroscience Systems Neuroscience , 2022 .
[42] A. Ishai,et al. Recollection- and Familiarity-Based Decisions Reflect Memory Strength , 2008, Frontiers in systems neuroscience.
[43] Patrick Mair,et al. Multidimensional Scaling Using Majorization: SMACOF in R , 2008 .
[44] Tom Michael Mitchell,et al. From the SelectedWorks of Marcel Adam Just 2008 Using fMRI brain activation to identify cognitive states associated with perception of tools and dwellings , 2016 .
[45] Alice J. O'Toole,et al. Theoretical, Statistical, and Practical Perspectives on Pattern-based Classification Approaches to the Analysis of Functional Neuroimaging Data , 2007, Journal of Cognitive Neuroscience.
[46] A. Etkin,et al. Functional neuroimaging of anxiety: a meta-analysis of emotional processing in PTSD, social anxiety disorder, and specific phobia. , 2007, The American journal of psychiatry.
[47] Keiji Tanaka,et al. Object category structure in response patterns of neuronal population in monkey inferior temporal cortex. , 2007, Journal of neurophysiology.
[48] Geoffrey Karl Aguirre,et al. Continuous carry-over designs for fMRI , 2007, NeuroImage.
[49] Stéphane Dray,et al. The ade4 Package-II: Two-table and K-table Methods , 2007 .
[50] S. R. Lehky,et al. Comparison of shape encoding in primate dorsal and ventral visual pathways. , 2007, Journal of neurophysiology.
[51] Sean M. Polyn,et al. Beyond mind-reading: multi-voxel pattern analysis of fMRI data , 2006, Trends in Cognitive Sciences.
[52] G. Rees,et al. Neuroimaging: Decoding mental states from brain activity in humans , 2006, Nature Reviews Neuroscience.
[53] Tutut Herawan,et al. Computational and mathematical methods in medicine. , 2006, Computational and mathematical methods in medicine.
[54] Vaidehi S. Natu,et al. Category-Specific Cortical Activity Precedes Retrieval During Memory Search , 2005, Science.
[55] Charles E. Heckler,et al. Applied Multivariate Statistical Analysis , 2005, Technometrics.
[56] Kenneth G. Manton,et al. Cluster Analysis: Overview , 2005 .
[57] E. Bullmore,et al. Neurophysiological architecture of functional magnetic resonance images of human brain. , 2005, Cerebral cortex.
[58] E. Bullmore,et al. Functional disconnectivity of the medial temporal lobe in Asperger’s syndrome , 2005, Biological Psychiatry.
[59] Alice J. O'Toole,et al. Partially Distributed Representations of Objects and Faces in Ventral Temporal Cortex , 2005, Journal of Cognitive Neuroscience.
[60] Stephen José Hanson,et al. Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a “face” area? , 2004, NeuroImage.
[61] Jean-Baptiste Poline,et al. Group analysis in functional neuroimaging: selecting subjects using similarity measures , 2003, NeuroImage.
[62] D. E Welchew,et al. Multidimensional Scaling of Integrated Neurocognitive Function and Schizophrenia as a Disconnexion Disorder , 2002, NeuroImage.
[63] R. Vogels,et al. Inferotemporal neurons represent low-dimensional configurations of parameterized shapes , 2001, Nature Neuroscience.
[64] A. Ishai,et al. Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.
[65] Garrison W. Cottrell,et al. Content and cluster analysis: Assessing representational similarity in neural systems , 2000 .
[66] S. Edelman,et al. Toward direct visualization of the internal shape representation space by fMRI , 1998, Psychobiology.
[67] S Edelman,et al. Representation is representation of similarities , 1996, Behavioral and Brain Sciences.
[68] P. Groenen,et al. Modern Multidimensional Scaling: Theory and Applications , 1999 .
[69] P. Groenen,et al. The tunneling method for global optimization in multidimensional scaling , 1996 .
[70] Karl J. Friston,et al. Functional topography: multidimensional scaling and functional connectivity in the brain. , 1996, Cerebral cortex.
[71] Peter Andersen,et al. Quantitative relations between parietal activation and performance in mental rotation , 1996, Neuroreport.
[72] G. De Soete,et al. Clustering and Classification , 2019, Data-Driven Science and Engineering.
[73] Robert Sabatier,et al. The ACT (STATIS method) , 1994 .
[74] Douglas H. Wedell,et al. Context Effects on Similarity Judgments of Multidimensional Stimuli: Inferring the Structure of the Emotion Space , 1994 .
[75] L. Hubert,et al. Multidimensional scaling in the city-block metric: A combinatorial approach , 1992 .
[76] M. Young,et al. Sparse population coding of faces in the inferotemporal cortex. , 1992, Science.
[77] R. Nosofsky. Similarity Scaling and Cognitive Process Models , 1992 .
[78] M. Hasselmo,et al. The role of expression and identity in the face-selective responses of neurons in the temporal visual cortex of the monkey , 1989, Behavioural Brain Research.
[79] Edward J. Shoben,et al. Applications of Multidimensional Scaling in Cognitive Psychology , 1983 .
[80] J. H. Steiger. Tests for comparing elements of a correlation matrix. , 1980 .
[81] J. Chang,et al. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .
[82] P. Schönemann,et al. Fitting one matrix to another under choice of a central dilation and a rigid motion , 1970 .
[83] R. Shepard. Attention and the metric structure of the stimulus space. , 1964 .
[84] L. Tucker,et al. An individual differences model for multidimensional scaling , 1963 .
[85] R. Shepard. The analysis of proximities: Multidimensional scaling with an unknown distance function. II , 1962 .
[86] R. Shepard. The analysis of proximities: Multidimensional scaling with an unknown distance function. I. , 1962 .