Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging
JournalFrontiers in Computational Neuroscience
PublisherFrontiers Media S.A.
MetadataShow full item record
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.
SponsorsThis work was supported by NIH/NINDS R01NS110421 and the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative.
data stream mining
real-time image processing
real-time neuron detection
Identifier to cite or link to this itemhttps://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