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Extraction of microsaccade-related signal from single-trial local field potential by ICA with reference

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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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Acknowledgments

This work is partially supported by NIH. We thank Dr Melanie Wilke for proving the data, which were collected at the laboratory of Dr Nikos Logothetis at Max Planck Institute for Biological Cybernetics in Germany.

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Authors and Affiliations

  1. School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, 19104, USA

    Meng Hu, Hongmiao Zhang & Hualou Liang

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  1. Meng Hu
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  2. Hongmiao Zhang
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  3. Hualou Liang
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Correspondence to Hualou Liang.

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Hu, M., Zhang, H. & Liang, H. Extraction of microsaccade-related signal from single-trial local field potential by ICA with reference. Neural Comput & Applic 20, 1181–1186 (2011). https://doi.org/10.1007/s00521-010-0469-2

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  • DOI: https://doi.org/10.1007/s00521-010-0469-2

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