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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
ORCID:
0000-0002-2503-1589
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Surgical Sciences
Oxford college:
St Antonys College
ORCID:
0000-0002-7262-7297
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Surgical Sciences
Oxford college:
Exeter; Exeter College
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National Natural Science Foundation of China More from this funder
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Publication date:
2017-08-15
Acceptance date:
2017-02-06
DOI:
ISSN:
1948-3546 and 1948-3554
Pubs id:
pubs:728895
URN:
uri:266c0770-e824-4f67-b70e-0efc21fd5246
UUID:
uuid:266c0770-e824-4f67-b70e-0efc21fd5246
Local pid:
pubs:728895
ISBN:
9781538619162

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