Journal article
Extraction of percept-related induced local field potential during spontaneously reversing perception
Neural networks, v 22(5), pp 720-727
2009
PMID: 19608383
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The question of how perception arises from neuronal activity in the visual cortex is of fundamental importance in cognitive neuroscience. To address this question, we adopt a unique experimental paradigm in which bistable structure-from-motion (SFM) stimuli are employed to dissociate the visual input from perception while monitoring the cortical neural activity called local field potential (LFP). Consequently, the stimulus-evoked activity of LFP is not related to perception but the oscillatory induced activity of LFP may be percept-related. In this paper we focus on extracting the percept-related features of the induced activity from LFP in a monkey’s visual cortex for decoding its bistable structure-from-motion perception. We first estimate the stimulus-evoked activity via a wavelet-based method and remove it from the single-trial LFP. We then use the common spatial patterns (CSP) approach to design spatial filters to extract the percept-related features from the remaining induced activity. We exploit the linear discriminant analysis (LDA) classifier on the extracted features to decode the reported perception on a single-trial basis. We demonstrate that our approach has excellent performance in estimating the stimulus-evoked activity, outperforming the Wiener filter, least mean square (LMS), and a local regression method called the locally weighted scatterplot smoothing (LOWESS), and 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.
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Details
- Title
- Extraction of percept-related induced local field potential during spontaneously reversing perception
- Creators
- Zhisong Wang - Microsoft Corporation, Bellevue, WA 98007, USANikos K Logothetis - Max Planck Institut für Biologische Kybernetik, Spemannstrasse 38, 72076 Tübingen, GermanyHualou Liang - School of Biomedical Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA
- Publication Details
- Neural networks, v 22(5), pp 720-727
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000269808300026
- Scopus ID
- 2-s2.0-68149132475
- Other Identifier
- 991014877893404721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Neurosciences