H
Hamed Nili
Researcher at University of Oxford
Publications - 44
Citations - 2692
Hamed Nili is an academic researcher from University of Oxford. The author has contributed to research in topics: Computer science & Cognitive map. The author has an hindex of 15, co-authored 39 publications receiving 1986 citations. Previous affiliations of Hamed Nili include John Radcliffe Hospital & Cognition and Brain Sciences Unit.
Papers
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Journal ArticleDOI
A toolbox for representational similarity analysis.
Hamed Nili,Cai Wingfield,Alexander Walther,Li Su,William D. Marslen-Wilson,Nikolaus Kriegeskorte +5 more
TL;DR: A Matlab toolbox for representational similarity analysis is introduced, designed to help integrate a wide range of computational models into the analysis of multichannel brain-activity measurements as provided by modern functional imaging and neuronal recording techniques.
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Dynamic Coding for Cognitive Control in Prefrontal Cortex
Mark G. Stokes,Makoto Kusunoki,Makoto Kusunoki,Natasha Sigala,Hamed Nili,David Gaffan,John S. Duncan,John S. Duncan +7 more
TL;DR: Time-resolved population-level neural pattern analyses are used to explore how context is encoded and maintained in primate prefrontal cortex and used in flexible decision making, and demonstrate how neural tuning profiles in prefrontal cortex adapt to accommodate changes in behavioral context.
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Reliability of dissimilarity measures for multi-voxel pattern analysis.
Alexander Walther,Alexander Walther,Hamed Nili,Naveed Ejaz,Arjen Alink,Nikolaus Kriegeskorte,Jörn Diedrichsen +6 more
TL;DR: In this paper, the authors compare the reliability of three classes of dissimilarity measures: classification accuracy, Euclidean/Mahalanobis distance, and Pearson correlation distance, using simulations and four real functional magnetic resonance imaging (fMRI) datasets.
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Comparing continual task learning in minds and machines.
TL;DR: Analysis of human error patterns suggested that blocked training encouraged humans to form “factorized” representation that optimally segregated the tasks, especially for those individuals with a strong prior bias to represent the stimulus space in a well-structured way.
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A head view-invariant representation of gaze direction in anterior superior temporal sulcus.
Johan D. Carlin,Andrew J. Calder,Nikolaus Kriegeskorte,Hamed Nili,James B. Rowe,James B. Rowe +5 more
TL;DR: The results suggest that anterior STS codes the direction of another's attention regardless of how this information is conveyed and demonstrate how high-level face areas carry out fine-grained, perceptually relevant discrimination through invariance to other face features.