An Efficient Algorithm for Topologically Correct Segmentation of the Cortical Sheet in Anatomical MR Volumes. - Nikolaus Kriegeskorte; Rainer Goebel (NeuroImage, 2001)

Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components. - Elia Formisano; Fabrizio Esposito; Nikolaus Kriegeskorte; Gioacchino Tedeschi; Francesco Di Salle; Rainer Goebel (Neurocomputing, 2002)

Cortical capacity constraints for visual working memory: dissociation of fMRI load effects in a fronto-parietal network. - David E. J. Linden; Robert A. Bittner; Lars Muckli; James A. Waltz; Nikolaus Kriegeskorte; Rainer Goebel; Wolf Singer; Matthias H. J. Munk (NeuroImage, 2003)

The neuroscientific exploitation of high-resolution functional magnetic resonance imaging. - Nikolaus Kriegeskorte; Peter A. Bandettini (EMBC, 2006)

Analyzing for information, not activation, to exploit high-resolution fMRI. - Nikolaus Kriegeskorte; Peter A. Bandettini (NeuroImage, 2007)

Combining the tools: Activation- and information-based fMRI analysis. - Nikolaus Kriegeskorte; Peter A. Bandettini (NeuroImage, 2007)

Artifactual time-course correlations in echo-planar fMRI with implications for studies of brain function. - Nikolaus Kriegeskorte; Jerzy Bodurka; Peter A. Bandettini (Int. J. Imaging Syst. Technol., 2008)

Pattern-information fMRI: New questions which it opens up and challenges which face it. - Rajeev D. S. Raizada; Nikolaus Kriegeskorte (Int. J. Imaging Syst. Technol., 2010)

How does an fMRI voxel sample the neuronal activity pattern: Compact-kernel or complex spatiotemporal filter? - Nikolaus Kriegeskorte; Rhodri Cusack; Peter A. Bandettini (NeuroImage, 2010)

Comparison of multivariate classifiers and response normalizations for pattern-information fMRI. - Masaya Misaki; Youn Kim; Peter A. Bandettini; Nikolaus Kriegeskorte (NeuroImage, 2010)

Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods. - Carlton Chu; Janaina Mourão Miranda; Yu-Chin Chiu; Nikolaus Kriegeskorte; Geoffrey C. Y. Tan; John Ashburner (NeuroImage, 2011)

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

Spatiotemporal Searchlight Representational Similarity Analysis in EMEG Source Space. - Li Su 002; Elisabeth Fonteneau; William D. Marslen-Wilson; Nikolaus Kriegeskorte (PRNI, 2012)

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

An emerging consensus for open evaluation: 18 visions for the future of scientific publishing. - Nikolaus Kriegeskorte; Alexander Walther; Diana Deca (Frontiers Comput. Neurosci., 2012)

Seeing patterns through the hemodynamic veil - The future of pattern-information fMRI. - Elia Formisano; Nikolaus Kriegeskorte (NeuroImage, 2012)

Reaction Time for Object Categorization Is Predicted by Representational Distance. - Thomas A. Carlson; J. Brendan Ritchie; Nikolaus Kriegeskorte; Samir Durvasula; Junsheng Ma (J. Cogn. Neurosci., 2014)

The Emergence of Semantic Meaning in the Ventral Temporal Pathway. - Thomas A. Carlson; Ryan A. Simmons; Nikolaus Kriegeskorte; L. Robert Slevc (J. Cogn. Neurosci., 2014)

Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation. - Seyed-Mahdi Khaligh-Razavi; Nikolaus Kriegeskorte (PLoS Comput. Biol., 2014)

A Toolbox for Representational Similarity Analysis. - Hamed Nili; Cai Wingfield; Alexander Walther; Li Su 002; William D. Marslen-Wilson; Nikolaus Kriegeskorte (PLoS Comput. Biol., 2014)

Visual representations are dominated by intrinsic fluctuations correlated between areas. - Linda Henriksson; Seyed-Mahdi Khaligh-Razavi; Kendrick N. Kay; Nikolaus Kriegeskorte (NeuroImage, 2015)

Representation of uncertainty in deep neural networks through sampling. - Patrick McClure; Nikolaus Kriegeskorte (CoRR, 2016)

Representational Distance Learning for Deep Neural Networks. - Patrick McClure; Nikolaus Kriegeskorte (Frontiers Comput. Neurosci., 2016)

Reliability of dissimilarity measures for multi-voxel pattern analysis. - Alexander Walther; Hamed Nili; Naveed Ejaz; Arjen Alink; Nikolaus Kriegeskorte; Jörn Diedrichsen (NeuroImage, 2016)

Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG. - Susan G. Wardle; Nikolaus Kriegeskorte; Tijl Grootswagers; Seyed-Mahdi Khaligh-Razavi; Thomas A. Carlson (NeuroImage, 2016)

Building machines that adapt and compute like brains. - Nikolaus Kriegeskorte; Robert M. Mok (CoRR, 2017)

Adjudicating between face-coding models with individual-face fMRI responses. - Johan D. Carlin; Nikolaus Kriegeskorte (PLoS Comput. Biol., 2017)

Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis. - Jörn Diedrichsen; Nikolaus Kriegeskorte (PLoS Comput. Biol., 2017)

Adaptive Independence Tests with Geo-Topological Transformation. - Baihan Lin; Nikolaus Kriegeskorte (CoRR, 2018)

GLMdenoise improves multivariate pattern analysis of fMRI data. - Ian Charest; Nikolaus Kriegeskorte; Kendrick N. Kay (NeuroImage, 2018)

Neural network models and deep learning - a primer for biologists. - Nikolaus Kriegeskorte; Tal Golan (CoRR, 2019)

Deep Learning for Cognitive Neuroscience. - Katherine R. Storrs; Nikolaus Kriegeskorte (CoRR, 2019)

Recurrence required to capture the dynamic computations of the human ventral visual stream. - Tim C. Kietzmann; Courtney J. Spoerer; Lynn Sörensen; Radoslaw Martin Cichy; Olaf Hauk; Nikolaus Kriegeskorte (CoRR, 2019)

Visualizing Representational Dynamics with Multidimensional Scaling Alignment. - Baihan Lin; Marieke Mur; Tim C. Kietzmann; Nikolaus Kriegeskorte (CoRR, 2019)

Controversial stimuli: pitting neural networks against each other as models of human recognition. - Tal Golan; Prashant C. Raju; Nikolaus Kriegeskorte (CoRR, 2019)

The spatiotemporal neural dynamics underlying perceived similarity for real-world objects. - Radoslaw Martin Cichy; Nikolaus Kriegeskorte; Kamila M. Jozwik; Jasper J. F. van den Bosch; Ian Charest (NeuroImage, 2019)

Faces and voices in the brain: A modality-general person-identity representation in superior temporal sulcus. - Maria Tsantani; Nikolaus Kriegeskorte; Carolyn McGettigan; Lúcia Garrido (NeuroImage, 2019)

Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction. - Olga Majewska; Diana McCarthy; Jasper J. F. van den Bosch; Nikolaus Kriegeskorte; Ivan Vulic; Anna Korhonen (LREC, 2020)

Going in circles is the way forward: the role of recurrence in visual inference. - Ruben S. van Bergen; Nikolaus Kriegeskorte (CoRR, 2020)

Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision. - Courtney J. Spoerer; Tim C. Kietzmann; Johannes Mehrer; Ian Charest; Nikolaus Kriegeskorte (PLoS Comput. Biol., 2020)

Semantic Data Set Construction from Human Clustering and Spatial Arrangement. - Olga Majewska; Diana McCarthy; Jasper J. F. van den Bosch; Nikolaus Kriegeskorte; Ivan Vulic; Anna Korhonen (Comput. Linguistics, 2021)

Capturing the objects of vision with neural networks. - Benjamin Peters; Nikolaus Kriegeskorte (CoRR, 2021)

Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting. - Katherine R. Storrs; Tim C. Kietzmann; Alexander Walther; Johannes Mehrer; Nikolaus Kriegeskorte (J. Cogn. Neurosci., 2021)

Distinct fronto-temporal substrates of distributional and taxonomic similarity among words: evidence from RSA of BOLD signals. - Francesca Carota; Hamed Nili; Friedemann Pulvermüller; Nikolaus Kriegeskorte (NeuroImage, 2021)

Testing the limits of natural language models for predicting human language judgments. - Tal Golan; Matthew Siegelman; Nikolaus Kriegeskorte; Christopher Baldassano (CoRR, 2022)

Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments. - Tal Golan; Wenxuan Guo; Heiko H. Schütt; Nikolaus Kriegeskorte (CoRR, 2022)

Human-like multiple object tracking through occlusion via gaze-following. - Benjamin Peters; Eivinas Butkus; Nikolaus Kriegeskorte (Gaze Meets ML, 2023)

Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans. - Hossein Adeli; Seoyoung Ahn; Nikolaus Kriegeskorte; Gregory J. Zelinsky (CoRR, 2023)

The Topology and Geometry of Neural Representations. - Baihan Lin; Nikolaus Kriegeskorte (CoRR, 2023)

Testing the limits of natural language models for predicting human language judgements. - Tal Golan; Matthew Siegelman; Nikolaus Kriegeskorte; Christopher Baldassano (Nat. Mac. Intell., 2023)

How does the primate brain combine generative and discriminative computations in vision? - Benjamin Peters; James J. DiCarlo; Todd M. Gureckis; Ralf Haefner; Leyla Isik; Joshua B. Tenenbaum; Talia Konkle; Thomas Naselaris; Kimberly L. Stachenfeld; Zenna Tavares; Doris Tsao; Ilker Yildirim; et al. (CoRR, 2024)

Nonparametric Bayesian inference of item-level features in classifier combination. - Patrick Stinson; Nikolaus Kriegeskorte (UAI, 2025)

Transformer brain encoders explain human high-level visual responses. - Hossein Adeli; Minni Sun; Nikolaus Kriegeskorte (CoRR, 2025)