Artificial Neuronal Devices Based on Emerging Materials: Neuronal Dynamics and Applications

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dc.contributor.authorLiu, Hefeien
dc.contributor.authorQin, Yuanen
dc.contributor.authorChen, Hung-Yuen
dc.contributor.authorWu, Jiangbinen
dc.contributor.authorMa, Jiahuien
dc.contributor.authorDu, Zhonghaoen
dc.contributor.authorWang, Nanen
dc.contributor.authorZou, Jingyien
dc.contributor.authorLin, Senen
dc.contributor.authorZhang, Xuen
dc.contributor.authorZhang, Yuhaoen
dc.contributor.authorWang, Hanen
dc.date.accessioned2023-10-16T18:56:18Zen
dc.date.available2023-10-16T18:56:18Zen
dc.date.issued2023-03en
dc.description.abstractArtificial neuronal devices are critical building blocks of neuromorphic computing systems and currently the subject of intense research motivated by application needs from new computing technology and more realistic brain emulation. Researchers have proposed a range of device concepts that can mimic neuronal dynamics and functions. Although the switching physics and device structures of these artificial neurons are largely different, their behaviors can be described by several neuron models in a more unified manner. In this paper, the reports of artificial neuronal devices based on emerging volatile switching materials are reviewed from the perspective of the demonstrated neuron models, with a focus on the neuronal functions implemented in these devices and the exploitation of these functions for computational and sensing applications. Furthermore, the neuroscience inspirations and engineering methods to enrich the neuronal dynamics that remain to be implemented in artificial neuronal devices and networks toward realizing the full functionalities of biological neurons are discussed.en
dc.description.notesAcknowledgements H.L., H.C., J.W., J.M., Z.D., N.W., and H.W. acknowledge the support in part from Army Research Office (grant no. W911NF1810268) and National Science Foundation (grant no. CMMI-2240407). Y.Q. and Y.Z. acknowledge National Science Foundation (grant no. ECCS-2045001). J.Z., S.L., and X.Z. acknowledge the support from the Pennsylvania Infrastructure Technology Alliance (PITA) program.en
dc.description.sponsorshipArmy Research Office [W911NF1810268]; National Science Foundation [ECCS-2045001]; Pennsylvania Infrastructure Technology Alliance (PITA) programen
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1002/adma.202205047en
dc.identifier.eissn1521-4095en
dc.identifier.issn0935-9648en
dc.identifier.pmid36609920en
dc.identifier.urihttp://hdl.handle.net/10919/116478en
dc.language.isoenen
dc.publisherWiley-V C H Verlagen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectartificial neuronsen
dc.subjectbrain emulationen
dc.subjectneuromorphic computingen
dc.subjectsensory neuronsen
dc.subjectspiking neural networksen
dc.titleArtificial Neuronal Devices Based on Emerging Materials: Neuronal Dynamics and Applicationsen
dc.title.serialAdvanced Materialsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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