Author

Nikolaus Kriegeskorte

Primary ORCID profile (0000-0001-7433-9005 · 41 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Nikolaus KriegeskorteiD41 papers · Mortimer B. Zuckerman Mind Brain Behavior Institute

Biology Disciplines

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Neuroscience· 4

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Alan C. Evans· 1 shared B. T. Thomas Yeo· 1 shared Bertrand Thirion· 1 shared David C. Van Essen· 1 shared Erika Proal· 1 shared Jean-Baptiste Poline· 1 shared Michael HankeiD· 1 shared Michael P. MilhamiD· 1 shared

Activity by Year

2015-2017 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alan C. Evans

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4 papers

Recent·Most cited

Best Practices in Data Analysis and Sharing in Neuroimaging using MRI

Thomas E. Nichols, Samir Das, Simon B. Eickhoff, Alan C. Evans, Tristan Glatard, Michael Hanke, Nikolaus Kriegeskorte, Michael P. Milham, Russell A. Poldrack, Jean-Baptiste Poline, Erika Proal, Bertrand Thirion, David C. Van Essen, Tonya White, B. T. Thomas Yeo

This paper outlines best practices for open and reproducible neuroimaging research using MRI, providing guidelines for data analysis, sharing, and reporting.

Nature Neuroscience · Mar 1, 2017Peer-reviewedNeuroscience

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

Nikolaus Kriegeskorte

This paper explores how deep neural networks can model biological vision and brain information processing, finding similar representational spaces between models and primate brains.

bioRxiv · Oct 26, 2015Neuroscience

Crossvalidation in brain imaging analysis

Nikolaus Kriegeskorte

The paper explains crossvalidation as a method for estimating predictive performance and comparing models by iteratively training and testing on subsets of data.

bioRxiv · Apr 1, 2015 · PreprintNeuroscience

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

Nikolaus Kriegeskorte

This paper introduces intersubject information mapping (IIM) to identify brain regions with shared fine-grained spatiotemporal patterns across subjects, revealing additional canonical representations beyond those found by intersubject correlation mapping.

bioRxiv · Mar 14, 2015Neuroscience