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Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition
Joint Authors
Liang, Hualou
Maier, Alexander
Wang, Zhisong
Logothetis, Nikos K.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-05-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The study of the neuronal correlates of the spontaneous alternation in perception elicited by bistable visual stimuli is promising for understanding the mechanism of neural information processing and the neural basis of visual perception and perceptual decision-making.
In this paper, we develop a sparse nonnegative tensor factorization-(NTF)-based method to extract features from the local field potential (LFP), collected from the middle temporal (MT) visual cortex in a macaque monkey, for decoding its bistable structure-from-motion (SFM) perception.
We apply the feature extraction approach to the multichannel time-frequency representation of the intracortical LFP data.
The advantages of the sparse NTF-based feature extraction approach lies in its capability to yield components common across the space, time, and frequency domains yet discriminative across different conditions without prior knowledge of the discriminating frequency bands and temporal windows for a specific subject.
We employ the support vector machines (SVMs) classifier based on the features of the NTF components for single-trial decoding the reported perception.
Our results suggest that although other bands also have certain discriminability, the gamma band feature carries the most discriminative information for bistable perception, and that imposing the sparseness constraints on the nonnegative tensor factorization improves extraction of this feature.
American Psychological Association (APA)
Wang, Zhisong& Maier, Alexander& Logothetis, Nikos K.& Liang, Hualou. 2008. Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition. Computational Intelligence and Neuroscience،Vol. 2008, no. 2008, pp.1-10.
https://search.emarefa.net/detail/BIM-487585
Modern Language Association (MLA)
Wang, Zhisong…[et al.]. Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition. Computational Intelligence and Neuroscience No. 2008 (2008), pp.1-10.
https://search.emarefa.net/detail/BIM-487585
American Medical Association (AMA)
Wang, Zhisong& Maier, Alexander& Logothetis, Nikos K.& Liang, Hualou. Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition. Computational Intelligence and Neuroscience. 2008. Vol. 2008, no. 2008, pp.1-10.
https://search.emarefa.net/detail/BIM-487585
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487585