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Dynamic synchronization state identification

Abstract:

In the sensory thalamus and periventricular gray/periaqueductal gray (PVAG) nucleus, the synchronization level of multiple frequency band oscillations of local field potentials (LFPs) have been shown to be associated with chronic pain perception and modulation. In this study, a state identification approach was generated to dynamically identify the synchronization state of neural oscillation. In this approach, a pattern extraction model was created to characterize the patterning of the neural...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/NER.2017.8008405

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Surgical Sciences
Department:
Oxford,MSD,Surgical Sciences
Role:
Author
ORCID:
0000-0002-2503-1589
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Surgical Sciences
Oxford college:
St Antony's College
Role:
Author
ORCID:
0000-0002-7262-7297
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Surgical Sciences
Oxford college:
Exeter College
Role:
Author
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National Natural Science Foundation of China More from this funder
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
8th International IEEE/EMBS Conference on Neural Engineering (NER 2017) Journal website
Host title:
8th International IEEE/EMBS Conference on Neural Engineering (NER 2017)
Publication date:
2017-08-15
Acceptance date:
2017-02-06
DOI:
ISSN:
1948-3554 and 1948-3546
Source identifiers:
728895
ISBN:
9781538619162
Pubs id:
pubs:728895
UUID:
uuid:266c0770-e824-4f67-b70e-0efc21fd5246
Local pid:
pubs:728895
Deposit date:
2018-09-19

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