Conference proceeding
Short-training Algorithm for Online Brain-machine Interfaces Using One-photon Microendoscopic Calcium Imaging
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), v 2021, pp 5860-5863
01 Nov 2021
PMID: 34892452
Abstract
Calcium imaging has great potential to be applied to online brain-machine interfaces (BMIs). As opposed to two-photon imaging settings, a one-photon microendoscopic imaging device can be chronically implanted and is subject to little motion artifacts. Traditionally, one-photon microendoscopic calcium imaging data are processed using the constrained nonnegative matrix factorization (CNMFe) algorithm, but this batched processing algorithm cannot be applied in real-time. An online analysis of calcium imaging data algorithm (or OnACIDe) has been proposed, but OnACIDe updates the neural components by repeatedly performing neuron identification frame-by-frame, which may decelerate the update speed if applying to online BMIs. For BMI applications, the ability to track a stable population of neurons in real-time has a higher priority over accurately identifying all the neurons in the field of view. By leveraging the fact that 1) microendoscopic recordings are rather stable with little motion artifacts and 2) the number of neurons identified in a short training period is sufficient for potential online BMI tasks such as cursor movements, we proposed the short-training CNMFe algorithm (stCNMFe) that skips motion correction and neuron identification processes to enable a more efficient BMI training program in a one-photon microendoscopic setting.
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Details
- Title
- Short-training Algorithm for Online Brain-machine Interfaces Using One-photon Microendoscopic Calcium Imaging
- Creators
- Hung-Yun Lu - University of Texas at Austin,Biomedical Engineering Department,Austin,TX,USAAnil Bollimunta - Inscopix, Inc.,Palo Alto,CA,USARyan W EatonJohn H MorrisonKaren A MoxonJose M Carmena - University of California, Berkeley,Helen Wills Neuroscience Institute,Electrical Engineering & Computer Sciences Department,Berkeley,CA,USAJonathan J Nassi - Inscopix, Inc.,Palo Alto,CA,USASamantha R Santacruz - University of Texas at Austin,Biomedical Engineering Department,Austin,TX,USAIEEE
- Publication Details
- 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), v 2021, pp 5860-5863
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000760910505108
- Scopus ID
- 2-s2.0-85122522326
- Other Identifier
- 991019176794204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical
- Engineering, Electrical & Electronic