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dc.contributor.authorLee, Y.
dc.contributor.authorXie, J.
dc.contributor.authorLee, E.
dc.contributor.authorSudarsanan, S.
dc.contributor.authorLin, D.-T.
dc.contributor.authorChen, R.
dc.contributor.authorBhattacharyya, S.S.
dc.date.accessioned2020-07-22T20:17:09Z
dc.date.available2020-07-22T20:17:09Z
dc.date.issued2020
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85087768828&doi=10.3389%2ffncom.2020.00043&partnerID=40&md5=cb4efdc86d7ff48142e1c355e5ae0cc7
dc.identifier.urihttp://hdl.handle.net/10713/13375
dc.description.abstractReal-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.en_US
dc.description.sponsorshipThis work was supported by NIH/NINDS R01NS110421 and the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative.en_US
dc.description.urihttps://doi.org/10.3389/fncom.2020.00043en_US
dc.language.isoen_USen_US
dc.publisherFrontiers Media S.A.en_US
dc.relation.ispartofFrontiers in Computational Neuroscience
dc.subjectcalcium imagingen_US
dc.subjectdata stream miningen_US
dc.subjectdataflowen_US
dc.subjectreal-time image processingen_US
dc.subjectreal-time neuron detectionen_US
dc.titleReal-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imagingen_US
dc.typeArticleen_US
dc.identifier.doi10.3389/fncom.2020.00043


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