Nikolaus Kriegeskorte

Orcid: 0000-0001-7433-9005

Affiliations:
  • Medical Research Council, Cambridge, UK
  • National Institutes of Health, Bethesda, MD, USA (2004 - 2009)
  • Maastricht University, The Netherlands (PhD 2003)


According to our database1, Nikolaus Kriegeskorte authored at least 50 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
How does the primate brain combine generative and discriminative computations in vision?
CoRR, 2024

2023
Testing the limits of natural language models for predicting human language judgements.
Nat. Mac. Intell., September, 2023

The Topology and Geometry of Neural Representations.
CoRR, 2023

Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans.
CoRR, 2023

2022
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments.
CoRR, 2022

Testing the limits of natural language models for predicting human language judgments.
CoRR, 2022

2021
Distinct fronto-temporal substrates of distributional and taxonomic similarity among words: evidence from RSA of BOLD signals.
NeuroImage, 2021

Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting.
J. Cogn. Neurosci., 2021

Capturing the objects of vision with neural networks.
CoRR, 2021

Semantic Data Set Construction from Human Clustering and Spatial Arrangement.
Comput. Linguistics, 2021

2020
Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision.
PLoS Comput. Biol., 2020

Going in circles is the way forward: the role of recurrence in visual inference.
CoRR, 2020

Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
Faces and voices in the brain: A modality-general person-identity representation in superior temporal sulcus.
NeuroImage, 2019

The spatiotemporal neural dynamics underlying perceived similarity for real-world objects.
NeuroImage, 2019

Controversial stimuli: pitting neural networks against each other as models of human recognition.
CoRR, 2019

Visualizing Representational Dynamics with Multidimensional Scaling Alignment.
CoRR, 2019

Recurrence required to capture the dynamic computations of the human ventral visual stream.
CoRR, 2019

Deep Learning for Cognitive Neuroscience.
CoRR, 2019

Neural network models and deep learning - a primer for biologists.
CoRR, 2019

2018
GLMdenoise improves multivariate pattern analysis of fMRI data.
NeuroImage, 2018

Adaptive Independence Tests with Geo-Topological Transformation.
CoRR, 2018

2017
Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis.
PLoS Comput. Biol., 2017

Adjudicating between face-coding models with individual-face fMRI responses.
PLoS Comput. Biol., 2017

Building machines that adapt and compute like brains.
CoRR, 2017

2016
Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG.
NeuroImage, 2016

Reliability of dissimilarity measures for multi-voxel pattern analysis.
NeuroImage, 2016

Representational Distance Learning for Deep Neural Networks.
Frontiers Comput. Neurosci., 2016

Representation of uncertainty in deep neural networks through sampling.
CoRR, 2016

2015
Visual representations are dominated by intrinsic fluctuations correlated between areas.
NeuroImage, 2015

2014
A Toolbox for Representational Similarity Analysis.
PLoS Comput. Biol., 2014

Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation.
PLoS Comput. Biol., 2014

The Emergence of Semantic Meaning in the Ventral Temporal Pathway.
J. Cogn. Neurosci., 2014

Reaction Time for Object Categorization Is Predicted by Representational Distance.
J. Cogn. Neurosci., 2014

2012
Seeing patterns through the hemodynamic veil - The future of pattern-information fMRI.
NeuroImage, 2012

An emerging consensus for open evaluation: 18 visions for the future of scientific publishing.
Frontiers Comput. Neurosci., 2012

Open Evaluation: A Vision for Entirely Transparent Post-Publication Peer Review and Rating for Science.
Frontiers Comput. Neurosci., 2012

Spatiotemporal Searchlight Representational Similarity Analysis in EMEG Source Space.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

2011
Pattern-information analysis: From stimulus decoding to computational-model testing.
NeuroImage, 2011

Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods.
NeuroImage, 2011

2010
Comparison of multivariate classifiers and response normalizations for pattern-information fMRI.
NeuroImage, 2010

How does an fMRI voxel sample the neuronal activity pattern: Compact-kernel or complex spatiotemporal filter?
NeuroImage, 2010

Pattern-information fMRI: New questions which it opens up and challenges which face it.
Int. J. Imaging Syst. Technol., 2010

2008
Artifactual time-course correlations in echo-planar fMRI with implications for studies of brain function.
Int. J. Imaging Syst. Technol., 2008

2007
Combining the tools: Activation- and information-based fMRI analysis.
NeuroImage, 2007

Analyzing for information, not activation, to exploit high-resolution fMRI.
NeuroImage, 2007

2006
The neuroscientific exploitation of high-resolution functional magnetic resonance imaging.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2003
Cortical capacity constraints for visual working memory: dissociation of fMRI load effects in a fronto-parietal network.
NeuroImage, 2003

2002
Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components.
Neurocomputing, 2002

2001
An Efficient Algorithm for Topologically Correct Segmentation of the Cortical Sheet in Anatomical MR Volumes.
NeuroImage, 2001


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