Nikolaus Kriegeskorte

About Nikolaus Kriegeskorte

Nikolaus Kriegeskorte, With an exceptional h-index of 67 and a recent h-index of 51 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of vision, neural networks, fMRI, neuronal recordings, pattern-information analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks

Source Invariance and Probabilistic Transfer: A Testable Theory of Probabilistic Neural Representations

Can neural networks benefit from objectives that encourage iterative convergent computations? A case study of ResNets and object classification

Generative Adversarial Collaborations: A practical guide for conference organizers and participating scientists

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

How to optimize neuroscience data utilization and experiment design for advancing primate visual and linguistic brain models?

Modeling the dynamics of spreading attention in objects: Do transformers behave like humans?

Experientially-grounded and distributional semantic vectors uncover dissociable representations of conceptual categories

Nikolaus Kriegeskorte Information

University

Position

Professor of Psychology and Neuroscience

Citations(all)

28047

Citations(since 2020)

16082

Cited By

18676

hIndex(all)

67

hIndex(since 2020)

51

i10Index(all)

113

i10Index(since 2020)

103

Email

University Profile Page

Google Scholar

Nikolaus Kriegeskorte Skills & Research Interests

vision

neural networks

fMRI

neuronal recordings

pattern-information analysis

Top articles of Nikolaus Kriegeskorte

Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks

bioRxiv

2023/1/5

Source Invariance and Probabilistic Transfer: A Testable Theory of Probabilistic Neural Representations

arXiv preprint arXiv:2404.08101

2024/4/11

Raphael Gerraty
Raphael Gerraty

H-Index: 9

John Morrison
John Morrison

H-Index: 7

Nikolaus Kriegeskorte
Nikolaus Kriegeskorte

H-Index: 48

Can neural networks benefit from objectives that encourage iterative convergent computations? A case study of ResNets and object classification

Plos one

2024/3/21

Benjamin Peters
Benjamin Peters

H-Index: 3

Nikolaus Kriegeskorte
Nikolaus Kriegeskorte

H-Index: 48

Generative Adversarial Collaborations: A practical guide for conference organizers and participating scientists

arXiv preprint arXiv:2402.12604

2024/2/19

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

arXiv preprint arXiv:2401.06005

2024/1/11

How to optimize neuroscience data utilization and experiment design for advancing primate visual and linguistic brain models?

arXiv preprint arXiv:2401.03376

2024/1/7

Modeling the dynamics of spreading attention in objects: Do transformers behave like humans?

Journal of Vision

2023/8/1

Experientially-grounded and distributional semantic vectors uncover dissociable representations of conceptual categories

Language, Cognition and Neuroscience

2023/7/12

The neuroconnectionist research programme

2023/7

Affinity-based attention in self-supervised transformers predicts dynamics of object grouping in humans

arXiv preprint arXiv:2306.00294

2023/6/1

The selfish scientist's guide to preprint posting

Authorea Preprints

2023/4/17

Nikolaus Kriegeskorte
Nikolaus Kriegeskorte

H-Index: 48

Deep neural networks and visuo-semantic models explain complementary components of human ventral-stream representational dynamics

Journal of Neuroscience

2023/3/8

Tim C Kietzmann
Tim C Kietzmann

H-Index: 16

Nikolaus Kriegeskorte
Nikolaus Kriegeskorte

H-Index: 48

Marieke Mur
Marieke Mur

H-Index: 15

Iterative convergent computation may not be a useful inductive bias for residual neural networks

bioRxiv

2023

Benjamin Peters
Benjamin Peters

H-Index: 3

Nikolaus Kriegeskorte
Nikolaus Kriegeskorte

H-Index: 48

Predicting brain activity using Transformers

bioRxiv

2023

Hossein Adeli
Hossein Adeli

H-Index: 7

Nikolaus Kriegeskorte
Nikolaus Kriegeskorte

H-Index: 48

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

Behavioral and Brain Sciences

2023/12/6

Human-like multiple object tracking through occlusion via gaze-following

2023/10/27

Benjamin Peters
Benjamin Peters

H-Index: 3

Nikolaus Kriegeskorte
Nikolaus Kriegeskorte

H-Index: 48

The Topology and Geometry of Neural Representations

arXiv preprint arXiv:2309.11028

2023/9/20

Baihan Lin
Baihan Lin

H-Index: 10

Nikolaus Kriegeskorte
Nikolaus Kriegeskorte

H-Index: 48

Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens

Scientific Reports

2023/9/1

Nikolaus Kriegeskorte
Nikolaus Kriegeskorte

H-Index: 48

Testing the limits of natural language models for predicting human language judgements

Nature Machine Intelligence

2023/9

Statistical inference on representational geometries

Elife

2023/8/23

Jörn Diedrichsen
Jörn Diedrichsen

H-Index: 46

Nikolaus Kriegeskorte
Nikolaus Kriegeskorte

H-Index: 48

See List of Professors in Nikolaus Kriegeskorte University(Columbia University in the City of New York)

Co-Authors

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