Nikolaus Kriegeskorte - researchr alias

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Viewing Publication 1 - 43 from 43

2026

Predicting Lockean from gradational accuracyIgor Douven, Nikolaus Kriegeskorte. ijar, 192:109636, 2026. [doi]

2025

Transformer brain encoders explain human high-level visual responsesHossein Adeli, Minni Sun, Nikolaus Kriegeskorte. nips 2025: [doi]

Causal Discovery and Inference through Next-Token PredictionEivinas Butkus, Nikolaus Kriegeskorte. nips 2025: [doi]

In Silico Mapping of Visual Categorical Selectivity Across the Whole BrainEthan Hwang, Hossein Adeli, Wenxuan Guo, Andrew F. Luo, Nikolaus Kriegeskorte. nips 2025: [doi]

Using transfer learning to identify a neural system's algorithmJohn Morrison, Nikolaus Kriegeskorte, Benjamin Peters. cogsci 2025: [doi]

Nonparametric Bayesian inference of item-level features in classifier combinationPatrick Stinson, Nikolaus Kriegeskorte. uai 2025: 4034-4043 [doi]

2023

Testing the limits of natural language models for predicting human language judgementsTal Golan, Matthew Siegelman, Nikolaus Kriegeskorte, Christopher Baldassano. natmi, 5(9):952-964, September 2023. [doi]

Human-like multiple object tracking through occlusion via gaze-followingBenjamin Peters, Eivinas Butkus, Nikolaus Kriegeskorte. gazeml 2023: 181-196 [doi]

2021

2020

Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset ConstructionOlga Majewska, Diana McCarthy, Jasper J. F. van den Bosch, Nikolaus Kriegeskorte, Ivan Vulic, Anna Korhonen. lrec 2020: 5749-5758 [doi]

Recurrent neural networks can explain flexible trading of speed and accuracy in biological visionCourtney J. Spoerer, Tim C. Kietzmann, Johannes Mehrer, Ian Charest, Nikolaus Kriegeskorte. ploscb, 16(10), 2020. [doi]

2019

The spatiotemporal neural dynamics underlying perceived similarity for real-world objectsRadoslaw Martin Cichy, Nikolaus Kriegeskorte, Kamila M. Jozwik, Jasper J. F. van den Bosch, Ian Charest. neuroimage, 194:12-24, 2019. [doi]

Faces and voices in the brain: A modality-general person-identity representation in superior temporal sulcusMaria Tsantani, Nikolaus Kriegeskorte, Carolyn McGettigan, Lúcia Garrido. neuroimage, 201, 2019. [doi]

2018

GLMdenoise improves multivariate pattern analysis of fMRI dataIan Charest, Nikolaus Kriegeskorte, Kendrick N. Kay. neuroimage, 183:606-616, 2018. [doi]

2017

Adjudicating between face-coding models with individual-face fMRI responsesJohan D. Carlin, Nikolaus Kriegeskorte. ploscb, 13(7), 2017. [doi]

Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysisJörn Diedrichsen, Nikolaus Kriegeskorte. ploscb, 13(4), 2017. [doi]

2016

2015

Visual representations are dominated by intrinsic fluctuations correlated between areasLinda Henriksson, Seyed-Mahdi Khaligh-Razavi, Kendrick N. Kay, Nikolaus Kriegeskorte. neuroimage, 114:275-286, 2015. [doi]

2014

2012

2011

Utilizing temporal information in fMRI decoding: Classifier using kernel regression methodsCarlton Chu, Janaina Mourão Miranda, Yu-Chin Chiu, Nikolaus Kriegeskorte, Geoffrey C. Y. Tan, John Ashburner. neuroimage, 58(2):560-571, 2011. [doi]

Pattern-information analysis: From stimulus decoding to computational-model testingNikolaus Kriegeskorte. neuroimage, 56(2):411-421, 2011. [doi]

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, 49(3):1965-1976, 2010. [doi]

Comparison of multivariate classifiers and response normalizations for pattern-information fMRIMasaya Misaki, Youn Kim, Peter A. Bandettini, Nikolaus Kriegeskorte. neuroimage, 53(1):103-118, 2010. [doi]

Pattern-information fMRI: New questions which it opens up and challenges which face itRajeev D. S. Raizada, Nikolaus Kriegeskorte. imst, 20(1):31-41, 2010. [doi]

2008

Artifactual time-course correlations in echo-planar fMRI with implications for studies of brain functionNikolaus Kriegeskorte, Jerzy Bodurka, Peter A. Bandettini. imst, 18(5-6):345-349, 2008. [doi]

2007

Analyzing for information, not activation, to exploit high-resolution fMRINikolaus Kriegeskorte, Peter A. Bandettini. neuroimage, 38(4):649-662, 2007. [doi]

Combining the tools: Activation- and information-based fMRI analysisNikolaus Kriegeskorte, Peter A. Bandettini. neuroimage, 38(4):666-668, 2007. [doi]

2006

The neuroscientific exploitation of high-resolution functional magnetic resonance imagingNikolaus Kriegeskorte, Peter A. Bandettini. embc 2006: 21-24 [doi]

2003

Cortical capacity constraints for visual working memory: dissociation of fMRI load effects in a fronto-parietal networkDavid E. J. Linden, Robert A. Bittner, Lars Muckli, James A. Waltz, Nikolaus Kriegeskorte, Rainer Goebel, Wolf Singer, Matthias H. J. Munk. neuroimage, 20(3):1518-1530, 2003. [doi]

2002

Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical componentsElia Formisano, Fabrizio Esposito, Nikolaus Kriegeskorte, Gioacchino Tedeschi, Francesco Di Salle, Rainer Goebel. ijon, 49(1-4):241-254, 2002. [doi]

2001

An Efficient Algorithm for Topologically Correct Segmentation of the Cortical Sheet in Anatomical MR VolumesNikolaus Kriegeskorte, Rainer Goebel. neuroimage, 14(2):329-346, 2001. [doi]

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