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From real-time single to multicompartmental Hodgkin-Huxley neurons on FPGA for bio-hybrid systems

dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorBEAUBOIS, Romain
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorKHOYRATEE, Farad
hal.structure.identifierInstitut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA]
dc.contributor.authorBRANCHEREAU, Pascal
IDREF: 098862677
dc.contributor.authorIKEUCHI, Yoshiho
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorLEVI, Timothee
IDREF: 120819813
dc.date.accessioned2023-05-30T11:57:49Z
dc.date.available2023-05-30T11:57:49Z
dc.date.issued2022-09-08
dc.date.conference2022-07-11
dc.identifier.issn2473-2001en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/182361
dc.description.abstractEnModeling biological neural networks has been a field opening to major advances in our understanding of the mechanisms governing the functioning of the brain in normal and pathological conditions. The emergence of real-time neuromorphic platforms has been leading to a rising significance of bio-hybrid experiments as part of the development of neuromorphic biomedical devices such as neuroprosthesis. To provide a new tool for the neurological disorder characterization, we design real-time single and multicompartmental Hodgkin-Huxley neurons on FPGA. These neurons allow biological neural network emulation featuring improved accuracy through compartment modeling and show integration in bio-hybrid system thanks to its real-time dynamics.
dc.language.isoENen_US
dc.subjectNeurological diseases
dc.subjectNeuromorphics
dc.subjectComputational modeling
dc.subjectNeurons
dc.subjectEmulation
dc.subjectNeuroprostheses
dc.subjectReal-time systems
dc.subjectBrain
dc.subjectMedical computing
dc.subjectNeural nets
dc.subjectNeurophysiology
dc.subjectMulticompartmental
dc.subjectFPGA
dc.subjectSNN
dc.subjectBio-hybrid
dc.subjectHodgkin-Huxley
dc.subjectBrain
dc.subjectModels
dc.subjectNeurological
dc.subjectNeural Networks
dc.subjectComputer
dc.subjectNeurons
dc.title.enFrom real-time single to multicompartmental Hodgkin-Huxley neurons on FPGA for bio-hybrid systems
dc.typeCommunication dans un congrès avec actesen_US
dc.identifier.doi10.1109/EMBC48229.2022.9871176en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.page1602-1606en_US
bordeaux.hal.laboratoriesIMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.conference.title2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, Scotland, United Kingdom, 2022en_US
bordeaux.countrygben_US
bordeaux.title.proceeding2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)en_US
bordeaux.teamBIOELECTRONIQUE-IAen_US
bordeaux.conference.cityGlasgowen_US
bordeaux.peerReviewedouien_US
hal.identifierhal-04109839
hal.version1
hal.date.transferred2023-05-30T11:57:51Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2022-09-08&rft.spage=1602-1606&rft.epage=1602-1606&rft.eissn=2473-2001&rft.issn=2473-2001&rft.au=BEAUBOIS,%20Romain&KHOYRATEE,%20Farad&BRANCHEREAU,%20Pascal&IKEUCHI,%20Yoshiho&LEVI,%20Timothee&rft.genre=proceeding


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