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Author: Nikolaus Kriegeskorte

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  • All-time downloads: 73,523 (rank: 471 out of 365,224)
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    • neuroscience: 73,523 (rank: 12 out of 61,241)

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Preprints

Deep Neural Networks In Computational Neuroscience

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Deep neural networks: a new framework for modelling biological vision and brain information processing

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Best Practices in Data Analysis and Sharing in Neuroimaging using MRI

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Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models

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Crossvalidation in brain imaging analysis

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Mind the drift - improving sensitivity to fMRI pattern information by accounting for temporal pattern drift

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Adjudicating between face-coding models with individual-face fMRI responses

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Intrinsic cortical dynamics dominate population responses to natural images across human visual cortex

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Intersubject information mapping: revealing canonical representations of complex natural stimuli.

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The brain of the beholder: honouring individual representational idiosyncrasies

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Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares.

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Recurrent convolutional neural networks: a better model of biological object recognition

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    • In neuroscience: 598 out of 15,117
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Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis

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    • In neuroscience: 628 out of 15,117
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Individual differences among deep neural network models

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    • In neuroscience: 865 out of 15,117
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Neural dynamics of real-world object vision that guide behaviour

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    • In neuroscience: 1,131 out of 15,117
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Recurrent networks can recycle neural resources to flexibly trade speed for accuracy in visual recognition

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GLMdenoise improves multivariate pattern analysis of fMRI data

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    • In neuroscience: 2,434 out of 15,117
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Inferring exemplar discriminability in brain representations

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From categories to dimensions: spatio-temporal dynamics of the cerebral representations of emotion in voice

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    • In neuroscience: 2,826 out of 15,117
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Faciotopy—a face-feature map with face-like topology in the human occipital face area

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    • In neuroscience: 3,152 out of 15,117
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Analysing linear multivariate pattern transformations in neuroimaging data

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    • In neuroscience: 4,187 out of 15,117
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Rapid invariant encoding of scene layout in human OPA

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    • In neuroscience: 4,527 out of 15,117
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Faces and voices in the brain: a modality-general person-identity representation in superior temporal sulcus

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    • In neuroscience: 4,562 out of 15,117
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Diverse deep neural networks all predict human IT well, after training and fitting

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Local opposite orientation preferences in V1: fMRI sensitivity to fine-grained pattern information

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    • In neuroscience: 7,341 out of 15,117
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Perceived ambiguity of social interactions increases coupling between frontal and temporal nodes of the social brain

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Prospective Motion correction improves the sensitivity of fMRI pattern decoding

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    • In neuroscience: 9,617 out of 15,117
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FFA and OFA encode distinct types of face identity information

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    • In neuroscience: 11,436 out of 15,117
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Rapid event-related, BOLD, NHP: choose two out of three

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    • In neuroscience: 12,550 out of 15,117
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Noise ceiling on the crossvalidated performance of reweighted models of representational dissimilarity: Addendum to Khaligh-Razavi & Kriegeskorte (2014)

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    • In neuroscience: 13,199 out of 15,117
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