Journal article
Relaxation-Based Multichannel Signal Combination (RELAX-MUSIC) for ROC Analysis of Percept-Related Neuronal Activity
IEEE transactions on biomedical engineering, v 53(12), pp 2615-2618
Dec 2006
PMID: 17152443
Abstract
In this letter, we consider how to combine neuronal signals from multiple electrodes to optimally predict behavioral choices from observed neural activity. The predictability is often quantified by the area under the receiver operating characteristic (ROC) curve, also called choice probability (CP) in neurophysiology. We exploit a distribution-free relaxation based multichannel signal combination (RELAX-MUSIC) approach that requires only simple pairwise combination and recursive implementation for optimizing the area under the ROC curve. A permutation test is employed to assess the statistical significance of the derived CP. We demonstrate that the RELAX-MUSIC approach outperforms the commonly used response pooling and Fisher linear discriminant (FLD) methods. The excellent performances of the RELAX-MUSIC approach for predicting perceptual decisions from neural activity are demonstrated via examples using simulated and experimental data
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Details
- Title
- Relaxation-Based Multichannel Signal Combination (RELAX-MUSIC) for ROC Analysis of Percept-Related Neuronal Activity
- Creators
- Zhisong Wang - Sch. of Health Inf. Sci., Texas Univ., Houston, TXAlexander MaierDavid A LeopoldHualou Liang
- Publication Details
- IEEE transactions on biomedical engineering, v 53(12), pp 2615-2618
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000242363500007
- Scopus ID
- 2-s2.0-33845906405
- Other Identifier
- 991014878448404721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical