N
Nikolaus Kriegeskorte
Researcher at Columbia University
Publications - 217
Citations - 24765
Nikolaus Kriegeskorte is an academic researcher from Columbia University. The author has contributed to research in topics: Artificial neural network & Temporal cortex. The author has an hindex of 56, co-authored 207 publications receiving 20051 citations. Previous affiliations of Nikolaus Kriegeskorte include Media Research Center & Max Planck Society.
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Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience
TL;DR: A new experimental and data-analytical framework called representational similarity analysis (RSA) is proposed, in which multi-channel measures of neural activity are quantitatively related to each other and to computational theory and behavior by comparing RDMs.
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Circular analysis in systems neuroscience: the dangers of double dipping.
TL;DR: It is argued that systems neuroscience needs to adjust some widespread practices to avoid the circularity that can arise from selection, and 'double dipping' the use of the same dataset for selection and selective analysis is suggested.
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Information-based functional brain mapping
TL;DR: The development of high-resolution neuroimaging and multielectrode electrophysiological recording provides neuroscientists with huge amounts of multivariate data, but the local averaging standardly applied to this end may obscure the effects of greatest neuroscientific interest.
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Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey
Nikolaus Kriegeskorte,Marieke Mur,Marieke Mur,Douglas A. Ruff,Roozbeh Kiani,Jerzy Bodurka,Hossein Esteky,Keiji Tanaka,Peter A. Bandettini +8 more
TL;DR: It is suggested that primate IT across species may host a common code, which combines a categorical and a continuous representation of objects.
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Deep supervised, but not unsupervised, models may explain IT cortical representation.
TL;DR: The results suggest that explaining IT requires computational features trained through supervised learning to emphasize the behaviorally important categorical divisions prominently reflected in IT.