Journal article
Extraction of microsaccade-related signal from single-trial local field potential by ICA with reference
Neural computing & applications, v 20(8), pp 1181-1186
2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
During visual fixation, we unconsciously make tiny, involuntary eye movements or ‘microsaccades’, which have been shown to have a crucial influence on analysis and perception of our visual environment. Given the small size and high irregularity of microsaccades, it is a significant challenge to detect and extract the microsaccade-related neural activities. In this work, we present a novel application of the independent component analysis with reference algorithm to extract microsaccade-related neural activity from single-trial local field potential (LFP). We showed via extensive computer simulations that our approach can be used to reliably extract microsaccade-related activity. We then applied our method to real cortical LFP data collected from multiple visual areas of monkeys performing a generalized flash suppression task and demonstrated that our approach has excellent performance in extracting microsaccade-related signal from single-trial LFP data.
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Details
- Title
- Extraction of microsaccade-related signal from single-trial local field potential by ICA with reference
- Creators
- Meng Hu - Drexel UniversityHongmiao Zhang - Drexel UniversityHualou Liang - Drexel University
- Publication Details
- Neural computing & applications, v 20(8), pp 1181-1186
- Publisher
- Springer-Verlag
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000300280100007
- Scopus ID
- 2-s2.0-80054091850
- Other Identifier
- 991019168769904721
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- Web of Science research areas
- Computer Science, Artificial Intelligence