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    Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging

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    Author
    Lee, Y.
    Xie, J.
    Lee, E.
    Sudarsanan, S.
    Lin, D.-T.
    Chen, R.
    Bhattacharyya, S.S.
    Date
    2020
    Journal
    Frontiers in Computational Neuroscience
    Publisher
    Frontiers Media S.A.
    Type
    Article
    
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    See at
    https://doi.org/10.3389/fncom.2020.00043
    Abstract
    Real-time neuron detection and neural activity extraction are critical components of real-time neural decoding. In this paper, we propose a novel real-time neuron detection and activity extraction system using a dataflow framework to provide real-time performance and adaptability to new algorithms and hardware platforms. The proposed system was evaluated on simulated calcium imaging data, calcium imaging data with manual annotation, and calcium imaging data of the anterior lateral motor cortex. We found that the proposed system accurately detected neurons and extracted neural activities in real time without any requirement for expensive, cumbersome, or special-purpose computing hardware. We expect that the system will enable cost-effective, real-time calcium imaging-based neural decoding, leading to precise neuromodulation. Copyright 2020 The Authors.
    Sponsors
    This work was supported by NIH/NINDS R01NS110421 and the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative.
    Keyword
    calcium imaging
    data stream mining
    dataflow
    real-time image processing
    real-time neuron detection
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087768828&doi=10.3389%2ffncom.2020.00043&partnerID=40&md5=cb4efdc86d7ff48142e1c355e5ae0cc7; http://hdl.handle.net/10713/13375
    ae974a485f413a2113503eed53cd6c53
    10.3389/fncom.2020.00043
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