Kriegeskorte, Nikolaus

Representational similarity analysis-connecting the branches of systems neuroscience

Kriegeskorte, N. (2008) · Frontiers in Systems Neuroscience

Visual perception and processing mechanismsFace Recognition and Perception

Cited by 3,355

Circular analysis in systems neuroscience: the dangers of double dipping

Kriegeskorte, N., Simmons, W. K., Bellgowan, P. S. F., & Baker, C. I. (2009) · Nature Neuroscience

Functional Brain Connectivity StudiesStatistical Methods and Applications

Cited by 2,696

Information-based functional brain mapping

Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006) · Proceedings of the National Academy of Sciences

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 2,113

Deep supervised, but not unsupervised, models may explain IT cortical representation

Khaligh-Razavi, S.-M., & Kriegeskorte, N. (2014) · PLoS Computational Biology

Visual perception and processing mechanismsFace Recognition and Perception

Cited by 1,204

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

Kriegeskorte, N. (2015) · Annual Review of Vision Science

Advanced Neural Network ApplicationsVisual perception and processing mechanisms

Cited by 1,093

A deep learning framework for neuroscience

Richards, B. A., Lillicrap, T. P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., Clopath, C., Costa, R. P., de Berker, A., Ganguli, S., et al. (2019) · Nature Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 1,027

Best practices in data analysis and sharing in neuroimaging using MRI

Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., et al. (2017) · Nature Neuroscience

Research Data Management PracticesScientific Computing and Data Management

Cited by 714

Cognitive computational neuroscience

Kriegeskorte, N., & Douglas, P. K. (2018) · Nature Neuroscience

Neural dynamics and brain functionNeural and Behavioral Psychology Studies

Cited by 535

Recurrence is required to capture the representational dynamics of the human visual system

Kietzmann, T. C., Spoerer, C. J., Sörensen, L. K. A., Cichy, R. M., Hauk, O., & Kriegeskorte, N. (2019) · Proceedings of the National Academy of Sciences

Visual perception and processing mechanismsFace Recognition and Perception

Cited by 406

Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression

Wimber, M., Alink, A., Charest, I., Kriegeskorte, N., & Anderson, M. C. (2015) · Nature Neuroscience

Memory Processes and InfluencesMemory and Neural Mechanisms

Cited by 282

The neuroconnectionist research programme

Doerig, A., Sommers, R. P., Seeliger, K., Richards, B., Ismael, J., Lindsay, G. W., Kording, K. P., Konkle, T., van Gerven, M. A. J., Kriegeskorte, N., et al. (2023) · Nature Reviews Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 233

Episodic reinstatement in the medial temporal lobe

Staresina, B. P., Henson, R. N. A., Kriegeskorte, N., & Alink, A. (2012) · The Journal of Neuroscience

Memory and Neural MechanismsMemory Processes and Influences

Cited by 228

Primary visual cortex activity along the apparent-motion trace reflects illusory perception

Muckli, L., Kohler, A., Kriegeskorte, N., & Singer, W. (2005) · PLoS Biology

Visual perception and processing mechanismsMultisensory perception and integration

Cited by 225

Awake reactivation predicts memory in humans

Staresina, B. P., Alink, A., Kriegeskorte, N., & Henson, R. N. (2013) · Proceedings of the National Academy of Sciences

Memory and Neural MechanismsMemory Processes and Influences

Cited by 219

Neural tuning and representational geometry

Kriegeskorte, N., & Wei, X.-X. (2021) · Nature Reviews Neuroscience

Neural dynamics and brain functionVisual perception and processing mechanisms

Cited by 187

Deep neural networks in computational neuroscience

Kietzmann, T. C., McClure, P., & Kriegeskorte, N. (2019) · Oxford Research Encyclopedia of Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 186

An ecologically motivated image dataset for deep learning yields better models of human vision

Mehrer, J., Spoerer, C. J., Jones, E. C., Kriegeskorte, N., & Kietzmann, T. C. (2021) · Proceedings of the National Academy of Sciences

Visual perception and processing mechanismsAdvanced Neural Network Applications

Cited by 140

Individual differences among deep neural network models

Mehrer, J., Spoerer, C. J., Kriegeskorte, N., & Kietzmann, T. C. (2020) · Nature Communications

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 133

Distinct representations of basic taste qualities in human gustatory cortex

Chikazoe, J., Lee, D. H., Kriegeskorte, N., & Anderson, A. K. (2019) · Nature Communications

Biochemical Analysis and Sensing TechniquesOlfactory and Sensory Function Studies

Cited by 98

Getting aligned on representational alignment

Sucholutsky, I., Muttenthaler, L., Weller, A., Peng, A., Bobu, A., Kim, B., Love, B. C., Cueva, C. J., Grant, E., Groen, I., et al. (2023) · arXiv

Domain Adaptation and Few-Shot LearningExplainable Artificial Intelligence (XAI)

Cited by 36

The brain of the beholder: honouring individual representational idiosyncrasies

Charest, I., & Kriegeskorte, N. (2015) · Language, Cognition and Neuroscience

Visual perception and processing mechanismsFunctional Brain Connectivity Studies

Cited by 27

Viewing Ambiguous Social Interactions Increases Functional Connectivity between Frontal and Temporal Nodes of the Social Brain

Ainsworth, M., Sallet, J., Joly, O., Kyriazis, D., Kriegeskorte, N., Duncan, J., Schüffelgen, U., Rushworth, M. F. S., & Bell, A. H. (2021) · The Journal of Neuroscience

Action Observation and SynchronizationFunctional Brain Connectivity Studies

Cited by 24

Noise ceiling on the crossvalidated performance of reweighted models of representational dissimilarity: Addendum to Khaligh-Razavi & Kriegeskorte (2014)

Storrs, K. R., Khaligh-Razavi, S.-M., & Kriegeskorte, N. (2020) · bioRxiv (Cold Spring Harbor Laboratory)

Visual perception and processing mechanismsFace Recognition and Perception

Cited by 17

Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses

Golan, T., Taylor, J., Schütt, H., Peters, B., Sommers, R. P., Seeliger, K., Doerig, A., Linton, P., Konkle, T., van Gerven, M., et al. (2023) · Behavioral and Brain Sciences

Visual perception and processing mechanismsVisual Attention and Saliency Detection

Cited by 12