FMRI Decoding of Auditory Information Based on Multi-voxel Pattern Analysis
نویسندگان
چکیده
منابع مشابه
Multi-Voxel Pattern Analysis of fMRI Data
The central goal of cognitive neuroscience is to understand how information is processed in the brain. To accomplish this goal, researchers studying human cognition are increasingly relying on multi-voxel pattern analysis (MVPA); this method involves analyzing spatially distributed (multi-voxel) patterns of functional MRI activity, with the goal of decoding the information that is represented a...
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A key challenge for cognitive neuroscience is determining how mental representations map onto patterns of neural activity. Recently, researchers have started to address this question by applying sophisticated pattern-classification algorithms to distributed (multi-voxel) patterns of functional MRI data, with the goal of decoding the information that is represented in the subject's brain at a pa...
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fMRI system shows that all the information of the brain that is represented in the subject of the brain at a particular point in time. The MVPA approach has lead to several impressive facts of brain reading. fMRI data uses Multivoxel pattern analysis (MVPA) approach to relate the neural activities to cognition. A challenging factor is to build a generalizable classification model because the nu...
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Complete List of Authors: Nambu, Isao; Nagaoka University of Technology, Graduate school of engineering Hagura, Nobuhiro; University College London, Institute of Cognitive Neuroscience Hirose, Satoshi; National Institute of Information and communications Technology, CiNet Wada, Yasuhiro; Nagaoka University of Technology, Graduate school of engineering Kawato, Mitsuo; ATR, Computational Neurosci...
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ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2018
ISSN: 2475-8841
DOI: 10.12783/dtcse/aiie2017/18218