N. Kriegeskorte

Publications220
h-index52
Citations17,618
Highly Influential Citations1,466
Claim Author Page
Author pages are created from data sourced from our academic publisher partnerships and public sources.

Recommended Authors

  • J. DiCarlo
  • 123 Publications • 10,185 Citations
  • N. Kanwisher
  • 343 Publications • 44,910 Citations
  • R. Goebel
  • 387 Publications • 24,382 Citations
  • J. Diedrichsen
  • 233 Publications • 12,565 Citations
  • Publications
  • Influence
Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience
TLDR
We propose a new experimental and data-analytical framework called representational similarity analysis (RSA), in which multi-channel measures of neural activity are quantitatively related to each other and to computational theory and behavior by comparing RDMs. Expand
  • 1,870
  • 320
  • PDF
Information-based functional brain mapping.
TLDR
The development of high-resolution neuroimaging and multielectrode electrophysiological recording provides neuroscientists with huge amounts of multivariate data. Expand
  • 1,807
  • 209
  • PDF
Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey
Inferior temporal (IT) object representations have been intensively studied in monkeys and humans, but representations of the same particular objects have never been compared between the species.… Expand
  • 1,010
  • 103
  • PDF
Circular analysis in systems neuroscience: the dangers of double dipping
A neuroscientific experiment typically generates a large amount of data, of which only a small fraction is analyzed in detail and presented in a publication. However, selection among noisy… Expand
  • 2,175
  • 99
  • PDF
A Toolbox for Representational Similarity Analysis
TLDR
We introduce a toolbox for representational similarity analysis (RSA), which characterizes a representation in a brain or computational model by the distance matrix of the response patterns elicited by a set of stimuli. Expand
  • 515
  • 82
  • PDF
Representational geometry: integrating cognition, computation, and the brain
Highlights • Representational geometry is a framework that enables us to relate brain, computation, and cognition.• Representations in brains and models can be characterized by representational… Expand
  • 508
  • 44
  • PDF
Individual faces elicit distinct response patterns in human anterior temporal cortex
Visual face identification requires distinguishing between thousands of faces we know. This computational feat involves a network of brain regions including the fusiform face area (FFA) and anterior… Expand
  • 468
  • 35
  • PDF
Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
TLDR
We investigate a wide range of computational model representations (37 in total), testing their categorization performance and their ability to account for the IT representational geometry. Expand
  • 746
  • 34
  • PDF
Representational dynamics of object vision: the first 1000 ms.
Human object recognition is remarkably efficient. In recent years, significant advancements have been made in our understanding of how the brain represents visual objects and organizes them into… Expand
  • 289
  • 33
  • PDF
Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing.
  • N. Kriegeskorte
  • Computer Science, Medicine
  • Annual review of vision science
  • 18 November 2015
TLDR
Recent advances in neural network modeling have enabled major strides in computer vision and other artificial intelligence applications. Expand
  • 484
  • 32
  • PDF
...
1
2
3
4
5
...