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Computational neuroscience / Electroencephalography / Evoked potentials / Neural networks / Mismatch negativity / Functional magnetic resonance imaging / Neural coding / Voxel / Neuroscience / Science / Nervous system


Model-based feature construction for multivariate decoding
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Document Date: 2013-12-12 02:50:01


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File Size: 1,48 MB

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City

Zurich / Cologne / Methods Model / /

Company

Switzerland Laboratory / LFPs / Ford / Cox / AF AB / Elsevier Inc. / /

Country

Germany / Switzerland / United Kingdom / /

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Event

FDA Phase / /

Facility

Switzerland Institute of Pharmacology / University College London / University of Zurich / Max Planck Institute / /

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IndustryTerm

classification algorithm / actual classification algorithm / grid search / decoding algorithm / designed algorithms / wireless data transfer / functional magnetic resonance imaging / classification algorithms / carrier frequencies / pattern-recognition algorithm / oddball protocol / exhaustive search / conventional decoding algorithm / linear search / /

Movie

Ben-Hur / /

Organization

University of Zurich / Switzerland Institute of Pharmacology and Toxicology / University College London / Wellcome Trust Centre for Neuroimaging / Department of Computer Science / Institute for Empirical Research / Max Planck Institute for Neurological Research / /

Person

Harrison / Van Essen / Joachim M. Buhmann / Cheng Soon Ong / Kay H. Brodersen / Tong / Marc Tittgemeyer / See Classi / Felleman Essen / Bruno Weber / /

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Position

model / researcher / Corresponding author / /

Product

S1 / /

ProgrammingLanguage

FP / /

Technology

neuroscience / magnetic resonance imaging / actual classification algorithm / pattern-recognition algorithm / random Some classification algorithms / Classification algorithms / decoding algorithm / conventional decoding algorithm / carefully designed algorithms / classification algorithm / same algorithm / oddball protocol / /

URL

http /

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