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Alexander Walther

Researcher at Cognition and Brain Sciences Unit

Publications -  11
Citations -  1429

Alexander Walther is an academic researcher from Cognition and Brain Sciences Unit. The author has contributed to research in topics: Cognitive neuroscience of visual object recognition & Distance matrix. The author has an hindex of 8, co-authored 11 publications receiving 1135 citations. Previous affiliations of Alexander Walther include University College London.

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A toolbox for representational similarity analysis.

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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Reliability of dissimilarity measures for multi-voxel pattern analysis.

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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fMRI orientation decoding in V1 does not require global maps or globally coherent orientation stimuli

TL;DR: This study investigates whether fMRI orientation decoding with 2-mm voxels requires globally coherent orientation stimuli and/or global-scale patterns of V1 activity and finds that fine-grained components of the fMRI patterns reflect visual orientations.
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An emerging consensus for open evaluation: 18 visions for the future of scientific publishing

TL;DR: The Research Topic “Beyond open access: visions for open evaluation of scientific papers by post-publication peer review” in Frontiers in Computational Neuroscience is edited, which includes 18 papers, each going beyond mere criticism of the status quo and laying out a detailed vision for the ideal future system.
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Mind the drift - improving sensitivity to fMRI pattern information by accounting for temporal pattern drift

TL;DR: It is shown that fMRI pattern similarity estimates are severely affected by temporal pattern drifts in fMRI data – even after voxel-wise detrending, and recommended that future fMRI studies take pattern drift into account when analyzing pattern similarity.