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dc.contributor.author장동표-
dc.date.accessioned2019-03-08T05:25:18Z-
dc.date.available2019-03-08T05:25:18Z-
dc.date.issued2016-11-
dc.identifier.citationFRONTIERS IN COMPUTATIONAL NEUROSCIENCE, v.10, Page. 1-12en_US
dc.identifier.issn1662-5188-
dc.identifier.urihttps://www.frontiersin.org/articles/10.3389/fncom.2016.00118/full-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/100641-
dc.description.abstractThe generation of pain signals from primary afferent neurons is explained by a labeled-line code. However, this notion cannot apply in a simple way to cutaneous C-fibers, which carry signals from a variety of receptors that respond to various stimuli including agonist chemicals. To represent the discharge patterns of C-fibers according to different agonist chemicals, we have developed a quantitative approach using three consecutive spikes. By using this method, the generation of pain in response to chemical stimuli is shown to be dependent on the temporal aspect of the spike trains. Furthermore, under pathological conditions, gamma-aminobutyric acid resulted in pain behavior without change of spike number but with an altered discharge pattern. Our results suggest that information about the agonist chemicals may be encoded in specific temporal patterns of signals in C-fibers, and nociceptive sensation may be influenced by the extent of temporal summation originating from the temporal patterns.en_US
dc.description.sponsorshipThis work was supported by grants from the National Research Foundation of Korea (NRF) funded by the Korean government (MSIP) (2012M3A7B4035199, 2011-0027921, and 2016R1A2B4013332).en_US
dc.language.isoenen_US
dc.publisherFRONTIERS MEDIA S.A.en_US
dc.subjecttemporal decodingen_US
dc.subjecttemporal encodingen_US
dc.subjectspike train analysisen_US
dc.subjectdischarge patternen_US
dc.subjectnociceptionen_US
dc.titleAnalysis of Nociceptive Information Encoded in the Temporal Discharge Patterns of Cutaneous C-Fibersen_US
dc.typeArticleen_US
dc.relation.volume10-
dc.identifier.doihttps://doi.org/10.3389/fncom.2016.00118-
dc.relation.page1-12-
dc.relation.journalFRONTIERS IN COMPUTATIONAL NEUROSCIENCE-
dc.contributor.googleauthorCho, Kyeongwon-
dc.contributor.googleauthorJang, Jun Ho-
dc.contributor.googleauthorKim, Sung-Phil-
dc.contributor.googleauthorLee, Sang Hoon-
dc.contributor.googleauthorChung, Soon-Cheol-
dc.contributor.googleauthorKim, In Young-
dc.contributor.googleauthorJang, Dong Pyo-
dc.contributor.googleauthorJung, Sung Jun-
dc.relation.code2016010184-
dc.sector.campusS-
dc.sector.daehakGRADUATE SCHOOL OF BIOMEDICAL SCIENCE AND ENGINEERING[S]-
dc.identifier.piddongpjang-


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