Adaptive filter theory
An introduction to wavelets
Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Empirical mode decomposition of field potentials from macaque V4 in visual spatial attention
Biological Cybernetics
Single-trial evoked potential estimation using wavelets
Computers in Biology and Medicine
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
De-noising by soft-thresholding
IEEE Transactions on Information Theory
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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 stirnulus in our experimental paradigm, the stirnulus-evoked activity in our data is not related to perception. Our proposed feature extraction approach consists of two stages. First, we estimate the stirnulus-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.