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001022083 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-01220
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001022083 1001_ $$0P:(DE-Juel1)188135$$aGrenmyr, Andreas$$b0$$eFirst author$$ufzj
001022083 1112_ $$aInternational conference on neuromorphic, natural and physical computing$$cHannover$$d2023-10-25 - 2023-10-27$$gNNPC$$wGermany
001022083 245__ $$aSynapses with Homo/Hetero-Synaptic Plasticity Enabled by Ferroelectric Polarization Modulated Schottky Diodes
001022083 260__ $$c2023
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001022083 520__ $$aNeuromorpic Computing using CMOS compatible devices and technology promises high integration.Heterosynaptic properties of the synapses are useful for achieving more conductive states.For a full neuromorphic system, both synapse arrays and neurons are required.In this work, we present both synapses and neurons by using Fe-SBFETs on SOI with very simple structures.
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001022083 7001_ $$0P:(DE-Juel1)186618$$aZhang, Jiayuan$$b1$$ufzj
001022083 7001_ $$0P:(DE-Juel1)187229$$aWiefels, Stefan$$b2$$ufzj
001022083 7001_ $$0P:(DE-Juel1)125588$$aGrützmacher, Detlev$$b3$$ufzj
001022083 7001_ $$0P:(DE-Juel1)128649$$aZhao, Qing-Tai$$b4$$ufzj
001022083 8564_ $$uhttps://juser.fz-juelich.de/record/1022083/files/Poster%20NNPC_final.pptx$$yOpenAccess
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001022083 9141_ $$y2023
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001022083 9201_ $$0I:(DE-Juel1)PGI-10-20170113$$kPGI-10$$lJARA Institut Green IT$$x2
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