Nikolaus Kriegeskorte

Summary

Publications

  1. pmc Inverse MDS: Inferring Dissimilarity Structure from Multiple Item Arrangements
    Nikolaus Kriegeskorte
    Cognition and Brain Sciences Unit, Medical Research Council Cambridge, UK
    Front Psychol 3:245. 2012
  2. pmc Circular analysis in systems neuroscience: the dangers of double dipping
    Nikolaus Kriegeskorte
    Laboratory of Brain and Cognition, US National Institute of Mental Health, Bethesda, Maryland, USA
    Nat Neurosci 12:535-40. 2009
  3. pmc Categorical, yet graded--single-image activation profiles of human category-selective cortical regions
    Marieke Mur
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA
    J Neurosci 32:8649-62. 2012
  4. pmc Face-identity change activation outside the face system: "release from adaptation" may not always indicate neuronal selectivity
    Marieke Mur
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
    Cereb Cortex 20:2027-42. 2010
  5. pmc Intrinsic structure of visual exemplar and category representations in macaque brain
    Ning Liu
    Section on Neurocircuitry, Laboratory of Brain and Cognition, NIMH NIH, Bethesda, MD 20892, USA
    J Neurosci 33:11346-60. 2013
  6. pmc Comparison of multivariate classifiers and response normalizations for pattern-information fMRI
    Masaya Misaki
    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
    Neuroimage 53:103-18. 2010
  7. pmc Matching categorical object representations in inferior temporal cortex of man and monkey
    Nikolaus Kriegeskorte
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, NIH, Bethesda, MD 20892 1148, USA
    Neuron 60:1126-41. 2008
  8. pmc High-level visual object representations are constrained by position
    Dwight J Kravitz
    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
    Cereb Cortex 20:2916-25. 2010
  9. pmc Utilizing temporal information in fMRI decoding: classifier using kernel regression methods
    Carlton Chu
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, NIH, USA
    Neuroimage 58:560-71. 2011
  10. pmc Representational similarity analysis - connecting the branches of systems neuroscience
    Nikolaus Kriegeskorte
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health Bethesda, MD, USA
    Front Syst Neurosci 2:4. 2008

Detail Information

Publications15

  1. pmc Inverse MDS: Inferring Dissimilarity Structure from Multiple Item Arrangements
    Nikolaus Kriegeskorte
    Cognition and Brain Sciences Unit, Medical Research Council Cambridge, UK
    Front Psychol 3:245. 2012
    ..The Matlab code for interactive arrangement and dissimilarity estimation is available from the authors upon request...
  2. pmc Circular analysis in systems neuroscience: the dangers of double dipping
    Nikolaus Kriegeskorte
    Laboratory of Brain and Cognition, US National Institute of Mental Health, Bethesda, Maryland, USA
    Nat Neurosci 12:535-40. 2009
    ..Spurious effects can appear in the context of both univariate activation analysis and multivariate pattern-information analysis. We suggest a policy for avoiding circularity...
  3. pmc Categorical, yet graded--single-image activation profiles of human category-selective cortical regions
    Marieke Mur
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA
    J Neurosci 32:8649-62. 2012
    ..These findings support the idea that these regions have category-specific functions, but are also consistent with a distributed object representation emphasizing categories while still distinguishing individual images...
  4. pmc Face-identity change activation outside the face system: "release from adaptation" may not always indicate neuronal selectivity
    Marieke Mur
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
    Cereb Cortex 20:2027-42. 2010
    ..These results remind us that fMRI stimulus-change effects can have a range of causes and do not provide conclusive evidence for a neuronal representation of the changed stimulus property...
  5. pmc Intrinsic structure of visual exemplar and category representations in macaque brain
    Ning Liu
    Section on Neurocircuitry, Laboratory of Brain and Cognition, NIMH NIH, Bethesda, MD 20892, USA
    J Neurosci 33:11346-60. 2013
    ....
  6. pmc Comparison of multivariate classifiers and response normalizations for pattern-information fMRI
    Masaya Misaki
    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
    Neuroimage 53:103-18. 2010
    ..Overall our results suggest that linear decoders based on t-value patterns may perform best in the present scenario of visual object representations measured for about 60min per subject with 3T fMRI...
  7. pmc Matching categorical object representations in inferior temporal cortex of man and monkey
    Nikolaus Kriegeskorte
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, NIH, Bethesda, MD 20892 1148, USA
    Neuron 60:1126-41. 2008
    ..Our findings suggest that primate IT across species may host a common code, which combines a categorical and a continuous representation of objects...
  8. pmc High-level visual object representations are constrained by position
    Dwight J Kravitz
    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
    Cereb Cortex 20:2916-25. 2010
    ..Thus, even at the population level, the object information available in response of object-selective cortex is constrained by position. We conclude that even high-level visual object representations are position-dependent...
  9. pmc Utilizing temporal information in fMRI decoding: classifier using kernel regression methods
    Carlton Chu
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, NIH, USA
    Neuroimage 58:560-71. 2011
    ..Our method yielded 96% accuracy and SVM yielded 92% (p=0.005). The third dataset is from a fast event-related experiment with two categories of visual objects. Our method achieved 77% accuracy, compared with 72% using SVM (p=0.0006)...
  10. pmc Representational similarity analysis - connecting the branches of systems neuroscience
    Nikolaus Kriegeskorte
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health Bethesda, MD, USA
    Front Syst Neurosci 2:4. 2008
    ....
  11. pmc How does an fMRI voxel sample the neuronal activity pattern: compact-kernel or complex spatiotemporal filter?
    Nikolaus Kriegeskorte
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
    Neuroimage 49:1965-76. 2010
    ....
  12. doi request reprint Pattern-information analysis: from stimulus decoding to computational-model testing
    Nikolaus Kriegeskorte
    Medical Research Council, Cognition and Brain Sciences Unit, Cambridge, UK
    Neuroimage 56:411-21. 2011
    ..Exploratory pattern analyses complement the confirmatory approaches mentioned so far and can reveal strong, unexpected effects that might be missed when testing only a restricted set of predefined hypotheses...
  13. pmc Revealing representational content with pattern-information fMRI--an introductory guide
    Marieke Mur
    Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
    Soc Cogn Affect Neurosci 4:101-9. 2009
    ..This tutorial introduction motivates pattern-information analysis, explains its underlying assumptions, introduces the most widespread methods in an intuitive way, and outlines the basic sequence of analysis steps...
  14. pmc Representational geometry: integrating cognition, computation, and the brain
    Nikolaus Kriegeskorte
    Medical Research Council, Cognition and Brain Sciences Unit, Cambridge, UK
    Trends Cogn Sci 17:401-12. 2013
    ..Analyses of representational geometry can compare representations between models and the brain, and promise to explain brain computation as transformation of representational similarity structure. ..