Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138149
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dc.contributor.authorWan, Changjinen_US
dc.contributor.authorCai, Pingqiangen_US
dc.contributor.authorWang, Mingen_US
dc.contributor.authorQian, Yanen_US
dc.contributor.authorHuang, Weien_US
dc.contributor.authorChen, Xiaodongen_US
dc.date.accessioned2020-04-27T03:07:29Z-
dc.date.available2020-04-27T03:07:29Z-
dc.date.issued2020-
dc.identifier.citationWan, C., Cai, P., Wang, M., Qian, Y., Huang, W., & Chen, X. (2020). Artificial Sensory Memory. Advanced Materials, 32(15), 1902434-. doi:10.1002/adma.201902434en_US
dc.identifier.issn0935-9648en_US
dc.identifier.urihttps://hdl.handle.net/10356/138149-
dc.description.abstractSensory memory, formed at the beginning while perceiving and interacting with the environment, is considered a primary source of intelligence. Transferring such biological concepts into electronic implementation aims at achieving perceptual intelligence, which would profoundly advance a broad spectrum of applications, such as prosthetics, robotics, and cyborg systems. Here, the recent developments in the design and fabrication of artificial sensory memory devices are summarized and their applications in recognition, manipulation, and learning are highlighted. The emergence of such devices benefits from recent progress in both bioinspired sensing and neuromorphic engineering technologies and derives from abundant inspiration and benchmarks from an improved understanding of biological sensory processing. Increasing attention to this area would offer unprecedented opportunities toward new hardware architecture of artificial intelligence, which could extend the capabilities of digital systems with emotional/psychological attributes. Pending challenges are also addressed to aspects such as integration level, energy efficiency, and functionality, which would undoubtedly shed light on the future development of translational implementations.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.description.sponsorshipASTAR (Agency for Sci., Tech. and Research, S’pore)en_US
dc.description.sponsorshipMOE (Min. of Education, S’pore)en_US
dc.language.isoenen_US
dc.relation.ispartofAdvanced Materialsen_US
dc.rightsThis is the peer reviewed version of the following article: Wan, C., Cai, P., Wang, M., Qian, Y., Huang, W., & Chen, X. (2020). Artificial Sensory Memory. Advanced Materials, 32(15), 1902434-, which has been published in final form at http://doi.org/10.1002/adma.201902434. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.en_US
dc.subjectEngineering::Materialsen_US
dc.titleArtificial sensory memoryen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Materials Science and Engineeringen_US
dc.contributor.organizationInnovative Center for Flexible Devicesen_US
dc.contributor.organizationMax Planck – NTU Joint Lab for Artificial Sensesen_US
dc.identifier.doi10.1002/adma.201902434-
dc.description.versionAccepted versionen_US
dc.identifier.pmid31364219-
dc.identifier.scopus2-s2.0-85070265618-
dc.identifier.issue15en_US
dc.identifier.volume32en_US
dc.identifier.spage1902434 (1 of 22)en_US
dc.identifier.epage1902434 (22 of 22)en_US
dc.subject.keywordsArtificial Neuronsen_US
dc.subject.keywordsBioinspired Sensorsen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
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