Personalised Modelling on Integrated Clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network System

aut.relation.endpage1378
aut.relation.pages6
aut.relation.startpage1373
dc.contributor.authorGholami, M
dc.contributor.authorKasabov, N
dc.contributor.editorZhi-Hua Zhouen_NZ
dc.date.accessioned2016-08-22T22:06:43Z
dc.date.available2016-08-22T22:06:43Z
dc.date.copyright2016-07-24en_NZ
dc.date.issued2016-07-24en_NZ
dc.description.abstractThis paper introduces a novel personalised modelling framework and system for analysing Spatio-Temporal Brain Data (STBD) along with person clinical static data. For every individual, based on selected subset of similar to this individual clinical data, a subset of STBD is used for training a personalised Spiking Neural Network (PSNN) model using the recently proposed NeuCube SNN architecture. The proposed method is illustrated on a case study of personalised modelling using clinical and EEG data of two groups of subjects – drug addicts and addicts under medication.en_NZ
dc.identifier.citationInternational Joint Conference on Neural Networks (IJCNN) held at Vancouver Convention Centre, Vancouver, Canada, 2016-07-24 to 2016-07-29, pp.1373 - 1378 (6)en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/10004
dc.publisherIEEE
dc.relation.urihttp://wcci2016.org/document/wcci16-pbk-c.pdf
dc.rightsCopyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectPersonalised modellingen_NZ
dc.subjectSpiking neural networksen_NZ
dc.subjectNeuCubeen_NZ
dc.subjectSpatiotemporal dataen_NZ
dc.subjectEEG dataen_NZ
dc.subjectOpiate addicten_NZ
dc.titlePersonalised Modelling on Integrated Clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Systemen_NZ
dc.typeConference Contribution
pubs.elements-id205506
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
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