Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex

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Title:
Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex
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English
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Dura-Bernal, Salvador
Li, Kan
Brockmeier, Austin J.
Kerr, Cliff C.
Neymotin, Samuel A.
Principe, Jose C.
Francis, Joseph T.
Lytton, William W.
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Bio-Med Central (BMC Neuroscience)
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Dura-Bernal et al. BMC Neuroscience 2014, 15(Suppl 1):P106 http://www.biomedcentral.com/1471-2202/15/S1/P106; Pages 1-2
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doi:10.1186/1471-2202-15-S1-P106 Cite this article as: Dura-Bernal et al.: Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex. BMC Neuroscience 2014 15(Suppl 1):P106.

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University of Florida
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University of Florida
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© 2014 Dura-Bernal et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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POSTERPRESENTATION OpenAccessModulationofvirtualarmtrajectoriesvia microstimulationinaspikingmodelof sensorimotorcortexSalvadorDura-Bernal1*,KanLi2,AustinJBrockmeier2,CliffCKerr1,SamuelANeymotin1,JoseCPrincipe2, JosephTFrancis1,WilliamWLytton1From TheTwentyThirdAnnualComputationalNeuroscienceMeeting:CNS*2014 QubecCity,Canada.26-31July2014Electricalmicrostimulationcanbeusedtodriveneural responsestomatchmeaningfulspikingpatternscorrespondingtonaturalsensorystimuliormotorbehaviors. Optimizingmicrostimulationsequencesrequiresrepeatedly stimulatingtheneuralsystemtoobtainsufficientprobing datatoconstructaninversemodel.Thisischallengingin therealbrainwhereprobingtimemaybelimitedandplasticitymaybeinduced.Biologicallyrealisticmodelsallow *Correspondence:salvadordura@gmail.com1DepartmentofPhysiologyandPharmacology,SUNYDownstate,Brooklyn, NY11203,USA Fulllistofauthorinformationisavailableattheendofthearticle Figure1 A. Rasterplotofamultiple-neuronmicrostimulationprobingsequence. B. Virtualarmwithsuperimposedhandtrajectoriesforsingleneuron(lightred)vs.multiple-neuron(darkred)microstimulationprobingsequences(originaltrajectoryinblue;targetingreen). Dura-Bernal etal BMCNeuroscience 2014, 15 (Suppl1):P106 http://www.biomedcentral.com/1471-2202/15/S1/P106 2014Dura-Bernaletal;licenseeBioMedCentralLtd.ThisisanOpenAccessarticledistributedunderthetermsoftheCreative CommonsAttributionLicense(http://creativecommons.org/licenses/by/4.0),whichpermitsunrestricteduse,distribution,and reproductioninanymedium,providedtheoriginalworkisproperlycited.TheCreativeCommonsPublicDomainDedicationwaiver (http://creativecommons.org/publicdomain/zero/1.0/)appliestothedatamadeavailableinthisarticle,unlessotherwisestated.

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thesystemtoberepeatedlyprobedandreset,providinga uniquetestbedforunderstandingthedynamicinteraction betweenongoingneuralactivityandartificiallyappliedstimulation.Here,weemployabiomimeticspikingmodel (BMM)ofsensorimotorcortexwhichcontrolsarealistic virtualmusculoskeletalarmthatperformsreachingmovements[1]. AftertrainingtheBMMandvirtualarmtoreachatarget,asetof1536microstimulationprobingsequences wereappliedtothetargetsensorypopulation.Theoutput motorpopulationactivityandthevirtualarmtrajectories wererecorded(Figure1).Microstimulationwasappliedto eachtargetneuronindividuallyaswellastorandomsubsetsofmultipleneuronssimultaneously.Otherparameters,suchasthestarttime,duration,andamplitudeof thestimulation,werealsoexamined.Resultsdemonstrated thatmicrostimulationcandifferentiallymodulatethe motorpopulationwhichexcitesthearmmuscles,andconsequently,thehandtrajectories.Theresultsoftheprobing datasetwillbeusedtobuildaninversemodelofthe neuralsystem,whichwillbeabletogeneratemicrostimulationpatterns[2]torepairsimulatedlesionsinthemodel. Thisworkdemonstratestheadvantagesofemployingin silicobrainsimulationsandrealisticlimbmodelsasatest bedformicrostimlation-basedneuralcontrollers.Theproposedsystem,whichhasbeenpreviouslyinterfacedwitha neuraldataacquisitionsystemandaroboticarminreal time[1],pavesthewayforthefasterdevelopmentofneuroprostheticsforthedynamicrepairofdamagedmotor neuralsystems.Authors details1DepartmentofPhysiologyandPharmacology,SUNYDownstate,Brooklyn, NY11203,USA.2DepartmentofElectricalandComputerEngineering, UniversityofFlorida,Gainesville,FL32611,USA. Published:21July2014 References1.Dura-BernalS,ChadderdonGL,NeymotinSA,ZhouX,PrzekwasA, FrancisJT,LyttonWW: Virtualmusculoskeletalarmandroboticarm drivenbyabiomimeticmodelofsensorimotorcortexwith reinforcementlearning. IEEESignalProcessinginMedicineandBiology Symposium(SPMB) 2013. 2.LiL,ParkIM,BrockmeierA,ChenB,SethS,FrancisJT,SanchezJC, PrincipeJC: Adaptiveinversecontrolofneuralspatiotemporalspike patternswithareproducingkernelHilbertspace(RKHS)framework. IEEE TransNeuralSystRehabilEng 2013, 21(4) :532-543.doi:10.1186/1471-2202-15-S1-P106 Citethisarticleas: Dura-Bernal etal .: Modulationofvirtualarm trajectoriesviamicrostimulationinaspikingmodelofsensorimotor cortex. BMCNeuroscience 2014 15 (Suppl1):P106. Submit your next manuscript to BioMed Central and take full advantage of: Convenient online submission Thorough peer review No space constraints or color gure charges Immediate publication on acceptance Inclusion in PubMed, CAS, Scopus and Google Scholar Research which is freely available for redistribution Submit your manuscript at www.biomedcentral.com/submit Dura-Bernal etal BMCNeuroscience 2014, 15 (Suppl1):P106 http://www.biomedcentral.com/1471-2202/15/S1/P106 Page2of2