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Nikolaus Kriegeskorte
Nikolaus Kriegeskorte
Professor of Psychology and Neuroscience, Columbia University
Verified email at columbia.edu
Title
Cited by
Cited by
Year
Representational similarity analysis-connecting the branches of systems neuroscience
N Kriegeskorte, M Mur, PA Bandettini
Frontiers in systems neuroscience, 4, 2008
27282008
Circular analysis in systems neuroscience: the dangers of double dipping
N Kriegeskorte, WK Simmons, PSF Bellgowan, CI Baker
Nature neuroscience 12 (5), 535-540, 2009
25492009
Information-based functional brain mapping
N Kriegeskorte, R Goebel, P Bandettini
Proceedings of the National Academy of Sciences 103 (10), 3863-3868, 2006
21702006
Matching categorical object representations in inferior temporal cortex of man and monkey
N Kriegeskorte, M Mur, DA Ruff, R Kiani, J Bodurka, H Esteky, K Tanaka, ...
Neuron 60 (6), 1126-1141, 2008
12632008
Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
SM Khaligh-Razavi, N Kriegeskorte
PLoS computational biology 10 (11), e1003915, 2014
9812014
Deep neural networks: a new framework for modelling biological vision and brain information processing
N Kriegeskorte
biorxiv, 029876, 2015
8132015
Representational geometry: integrating cognition, computation, and the brain
N Kriegeskorte, RA Kievit
Trends in cognitive sciences 17 (8), 401-412, 2013
6912013
A toolbox for representational similarity analysis
H Nili, C Wingfield, A Walther, L Su, W Marslen-Wilson, N Kriegeskorte
PLoS computational biology 10 (4), e1003553, 2014
6462014
Individual faces elicit distinct response patterns in human anterior temporal cortex
N Kriegeskorte, E Formisano, B Sorger, R Goebel
Proceedings of the National Academy of Sciences 104 (51), 20600-20605, 2007
5442007
Best practices in data analysis and sharing in neuroimaging using MRI
TE Nichols, S Das, SB Eickhoff, AC Evans, T Glatard, M Hanke, ...
Nature neuroscience 20 (3), 299-303, 2017
5372017
A deep learning framework for neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature neuroscience 22 (11), 1761-1770, 2019
5232019
Comparison of multivariate classifiers and response normalizations for pattern-information fMRI
M Misaki, Y Kim, PA Bandettini, N Kriegeskorte
Neuroimage 53 (1), 103-118, 2010
4902010
Neural correlates of trust
F Krueger, K McCabe, J Moll, N Kriegeskorte, R Zahn, M Strenziok, ...
Proceedings of the National Academy of Sciences 104 (50), 20084-20089, 2007
4762007
Revealing representational content with pattern-information fMRI—an introductory guide
M Mur, PA Bandettini, N Kriegeskorte
Social cognitive and affective neuroscience 4 (1), 101-109, 2009
4332009
Cortical capacity constraints for visual working memory: dissociation of fMRI load effects in a fronto-parietal network
DEJ Linden, RA Bittner, L Muckli, JA Waltz, N Kriegeskorte, R Goebel, ...
Neuroimage 20 (3), 1518-1530, 2003
3972003
Reliability of dissimilarity measures for multi-voxel pattern analysis
A Walther, H Nili, N Ejaz, A Alink, N Kriegeskorte, J Diedrichsen
Neuroimage 137, 188-200, 2016
3312016
Analyzing for information, not activation, to exploit high-resolution fMRI
N Kriegeskorte, P Bandettini
Neuroimage 38 (4), 649-662, 2007
3092007
Representational dynamics of object vision: the first 1000 ms
T Carlson, DA Tovar, A Alink, N Kriegeskorte
Journal of vision 13 (10), 1-1, 2013
3042013
Cognitive computational neuroscience
N Kriegeskorte, PK Douglas
Nature neuroscience 21 (9), 1148-1160, 2018
3032018
Primary visual cortex activity along the apparent-motion trace reflects illusory perception
L Muckli, A Kohler, N Kriegeskorte, W Singer
PLoS biology 3 (8), e265, 2005
2812005
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