Nikolaus Kriegeskorte

Allen Institute for Brain Science — United States

Neuroscience · Life Sciences

71h-index31.4kcitations311works1.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Face Recognition and Perception(138), Neural dynamics and brain function(137), Visual perception and processing mechanisms(87), Functional Brain Connectivity Studies(58), Neural Networks and Applications(34)

Publications311 total

Object-based association fields for grouping and attention
Journal of Vision·2024Open Access
FlyingObjects: Testing and aligning humans and machines in gamified object vision tasks
Journal of Vision·2024Open Access
Three theories of object-based attention implemented in deep neural network models
Journal of Vision·2024Open Access
Is V1 a Cognitive Map?
2024Open Access
Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks
eLife·2024· 5 citedOpen Access
Source Invariance and Probabilistic Transfer: A Testable Theory of Probabilistic Neural Representations
arXiv (Cornell University)·2024Open Access
Can neural networks benefit from objectives that encourage iterative convergent computations? A case study of ResNets and object classification
PLoS ONE·2024Open Access
Author response: Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks
2024Open Access
Perceived Stereo Depth reflects Retinal Disparities, not 3D Geometry
2024· 2 citedOpen Access
Generative Adversarial Collaborations: A practical guide for conference organizers and participating scientists
arXiv (Cornell University)·2024Open Access
How does the primate brain combine generative and discriminative computations in vision?
PubMed·2024· 1 citedOpen Access
How to optimize neuroscience data utilization and experiment design for advancing brain models of visual and linguistic cognition?
arXiv (Cornell University)·2024· 1 citedOpen Access
Iterative convergent computation may not be a useful inductive bias for residual neural networks
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Iterative convergent computation may not be a useful inductive bias for residual neural networks
2023Open Access
The cortical microcircuitry of predictions and context – a multi-scale perspective
Zenodo (CERN European Organization for Nuclear Research)·2023· 2 citedOpen Access
The Topology and Geometry of Neural Representations
arXiv (Cornell University)·2023Open Access
Testing the limits of natural language models for predicting human language judgements
Nature Machine Intelligence·2023· 20 cited
Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens
Scientific Reports·2023· 14 citedOpen Access
Statistical inference on representational geometries
eLife·2023· 27 citedOpen Access
Predicting brain activity using Transformers
2023· 7 citedOpen Access
← Previouspage 2 of 16Next →

Frequent Co-authors

Peter A. Bandettini(7), Rainer Goebel(6), Tim C. Kietzmann(6), Marieke Mur(5), Arjen Alink(5), Courtney J. Spoerer(5), Hamed Nili(3), Thomas E. Nichols(3), Russell A. Poldrack(3), Jörn Diedrichsen(3), Lars Muckli(3), Wolf Singer(3), Ian Charest(3), Johannes Mehrer(3), Chris I. Baker(2), Jerzy Bodurka(2), Blake A. Richards(2), Grace W. Lindsay(2), Konrad P. Körding(2), Alexander Walther(2)