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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhisong Wang Logothetis, N.K. Hualou Liang |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Biomedical Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA (Hualou Liang) || Microsoft Corporation, Redmond, WA, USA (Zhisong Wang) || Max Planck Institut für biologische Kybernetik, Spemannstrasse 38, 72076 Tübingen, Germany (Logothetis, N.K.) |
| Abstract | Bistable perception arises when a stimulus under continuous view is perceived as the alternation of two mutually exclusive states. Such a stimulus provides a unique opportunity for understanding the neural basis of visual perception because it dissociates the perception from the visual input. In this paper we focus on extracting the percept-related features of the induced activity from the local field potential (LFP) in monkey visual cortex for decoding its bistable structure-from-motion (SFM) perception. Because of the dissociation between the perception and the stimulus in our experimental paradigm, the stimulus-evoked activity in our data is not related to perception. Our proposed feature extraction approach consists of two stages. First, we estimate the stimulus-evoked activity via a wavelet transform based method and remove it from the single trials of each channel. Second, we use the common spatial patterns (CSP) approach to design spatial filters based on the remaining induced activity of multiple channels to extract the percept-related features. We exploit the linear discriminant analysis (LDA) classifier and the support vector machine (SVM) classifier on the extracted features to decode the reported perception on a single-trial basis. We apply the proposed approach to the multichannel intracortical LFP data collected from the middle temporal (MT) visual cortex in a macaque monkey performing a SFM task. We demonstrate that our approach is effective in extracting the discriminative features of the percept-related induced activity from LFP, which leads to excellent decoding performance. We also discover that the enhanced gamma band synchronization and reduced alpha band desynchronization may be the underpinnings of the induced activity. |
| Starting Page | 3289 |
| Ending Page | 3296 |
| File Size | 1873219 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424435487 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.2009.5178612 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Feature extraction Data mining Fourier transforms Spectrogram Visual perception Decoding Time frequency analysis Wavelet transforms Linear discriminant analysis Support vector machines |
| Content Type | Text |
| Resource Type | Article |
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