Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311349700> ?p ?o ?g. }
- W4311349700 endingPage "252" @default.
- W4311349700 startingPage "242" @default.
- W4311349700 abstract "We propose a neuromorphic vision system that uses digitally printed metal oxide photonic synapses with optical tunability and temporally correlated plasticity. The neuromorphic vision system provides the first demonstration of encoding ambient light intensity in the time domain and captures optical images by encoding their pixel intensity into pulsatile signals in real time, analogous to a biological visual retina and optic nerve. The system can then process the information and form memory, emulating the image data processing in the human brain. The system can realize image-preprocessing functions to increase image contrast and reduce image background noise, thereby effectively improving the classification and recognition accuracy. Dynamic stimulation of visual cortical prosthetics shows that the system is capable of dynamic perception and memory to detect motion and mimic coherent visual perception. Furthermore, the photonic synapses with a two-terminal structure using printed semiconducting fiber arrays could also facilitate large-scale integration. The proposed system offers the potential to simplify neuromorphic visual circuits and may have applications in autonomous smart devices, such as driverless cars, smart surveillance systems, and intelligent healthcare." @default.
- W4311349700 created "2022-12-25" @default.
- W4311349700 creator A5013658387 @default.
- W4311349700 creator A5015187794 @default.
- W4311349700 creator A5022647373 @default.
- W4311349700 creator A5028386798 @default.
- W4311349700 creator A5035977310 @default.
- W4311349700 creator A5044367029 @default.
- W4311349700 creator A5072148831 @default.
- W4311349700 date "2022-12-13" @default.
- W4311349700 modified "2023-10-18" @default.
- W4311349700 title "Bio-Inspired Vision and Neuromorphic Image Processing Using Printable Metal Oxide Photonic Synapses" @default.
- W4311349700 cites W1695065985 @default.
- W4311349700 cites W1976959356 @default.
- W4311349700 cites W1979254829 @default.
- W4311349700 cites W1980178290 @default.
- W4311349700 cites W2016574277 @default.
- W4311349700 cites W2046297486 @default.
- W4311349700 cites W2049989540 @default.
- W4311349700 cites W206948248 @default.
- W4311349700 cites W2095891880 @default.
- W4311349700 cites W2104561942 @default.
- W4311349700 cites W2112927743 @default.
- W4311349700 cites W2123820663 @default.
- W4311349700 cites W2127968420 @default.
- W4311349700 cites W2168462263 @default.
- W4311349700 cites W2171851311 @default.
- W4311349700 cites W2614858068 @default.
- W4311349700 cites W2758404936 @default.
- W4311349700 cites W2769688117 @default.
- W4311349700 cites W2893865906 @default.
- W4311349700 cites W2900970864 @default.
- W4311349700 cites W2902437043 @default.
- W4311349700 cites W2911694631 @default.
- W4311349700 cites W2957921024 @default.
- W4311349700 cites W3002481028 @default.
- W4311349700 cites W3009994855 @default.
- W4311349700 cites W3025482455 @default.
- W4311349700 cites W3027065653 @default.
- W4311349700 cites W3042432496 @default.
- W4311349700 cites W3044994059 @default.
- W4311349700 cites W3104775050 @default.
- W4311349700 cites W3104845945 @default.
- W4311349700 cites W3110294643 @default.
- W4311349700 cites W3127876816 @default.
- W4311349700 cites W3133758660 @default.
- W4311349700 cites W3165641579 @default.
- W4311349700 cites W3168396633 @default.
- W4311349700 cites W3168975400 @default.
- W4311349700 cites W3174385126 @default.
- W4311349700 cites W3196089955 @default.
- W4311349700 cites W3197803738 @default.
- W4311349700 cites W3201874126 @default.
- W4311349700 cites W3212414181 @default.
- W4311349700 cites W4214594900 @default.
- W4311349700 cites W4226165378 @default.
- W4311349700 doi "https://doi.org/10.1021/acsphotonics.2c01583" @default.
- W4311349700 hasPublicationYear "2022" @default.
- W4311349700 type Work @default.
- W4311349700 citedByCount "4" @default.
- W4311349700 countsByYear W43113497002023 @default.
- W4311349700 crossrefType "journal-article" @default.
- W4311349700 hasAuthorship W4311349700A5013658387 @default.
- W4311349700 hasAuthorship W4311349700A5015187794 @default.
- W4311349700 hasAuthorship W4311349700A5022647373 @default.
- W4311349700 hasAuthorship W4311349700A5028386798 @default.
- W4311349700 hasAuthorship W4311349700A5035977310 @default.
- W4311349700 hasAuthorship W4311349700A5044367029 @default.
- W4311349700 hasAuthorship W4311349700A5072148831 @default.
- W4311349700 hasConcept C115961682 @default.
- W4311349700 hasConcept C151927369 @default.
- W4311349700 hasConcept C154945302 @default.
- W4311349700 hasConcept C192562407 @default.
- W4311349700 hasConcept C20788544 @default.
- W4311349700 hasConcept C31972630 @default.
- W4311349700 hasConcept C41008148 @default.
- W4311349700 hasConcept C49040817 @default.
- W4311349700 hasConcept C50644808 @default.
- W4311349700 hasConcept C9417928 @default.
- W4311349700 hasConceptScore W4311349700C115961682 @default.
- W4311349700 hasConceptScore W4311349700C151927369 @default.
- W4311349700 hasConceptScore W4311349700C154945302 @default.
- W4311349700 hasConceptScore W4311349700C192562407 @default.
- W4311349700 hasConceptScore W4311349700C20788544 @default.
- W4311349700 hasConceptScore W4311349700C31972630 @default.
- W4311349700 hasConceptScore W4311349700C41008148 @default.
- W4311349700 hasConceptScore W4311349700C49040817 @default.
- W4311349700 hasConceptScore W4311349700C50644808 @default.
- W4311349700 hasConceptScore W4311349700C9417928 @default.
- W4311349700 hasFunder F4320321001 @default.
- W4311349700 hasFunder F4320321540 @default.
- W4311349700 hasFunder F4320326705 @default.
- W4311349700 hasIssue "1" @default.
- W4311349700 hasLocation W43113497001 @default.
- W4311349700 hasOpenAccess W4311349700 @default.
- W4311349700 hasPrimaryLocation W43113497001 @default.
- W4311349700 hasRelatedWork W2077275997 @default.
- W4311349700 hasRelatedWork W2080322084 @default.