Neuromorphic Spatiotemporal Information Processing Using Neuro-Photodetector Systems
Spatiotemporal information processing within the human brain is done by a joint task of neurons and synapses with direct optical inputs. Therefore, to mimic this neurofunction using photonic devices could be an essential step to design future artificial visual recognition and memory storage systems....
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MDPI AG
2020-11-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/10/23/8358 |
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author | Mohit Kumar Joondong Kim |
author_facet | Mohit Kumar Joondong Kim |
author_sort | Mohit Kumar |
collection | DOAJ |
description | Spatiotemporal information processing within the human brain is done by a joint task of neurons and synapses with direct optical inputs. Therefore, to mimic this neurofunction using photonic devices could be an essential step to design future artificial visual recognition and memory storage systems. Herein, we proposed and developed a proof-of-principle two-terminal device that exhibits key features of neuron (integration, leaky, and relaxation) and synapse (short- and long-term memory) together in response with direct optical input stimuli. Importantly, these devices with processing and memory features, are further effectively integrated to build an artificial neural network, which are enabled to do neuromorphic spatiotemporal image sensing. Our approach provides a simple but effective route to implement for an artificial visual recognition system, which also has applications in edge computing and the internet of things. |
first_indexed | 2024-03-10T14:36:25Z |
format | Article |
id | doaj.art-e41eb72a17e84f208c5491e99056c34e |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T14:36:25Z |
publishDate | 2020-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-e41eb72a17e84f208c5491e99056c34e2023-11-20T22:13:32ZengMDPI AGApplied Sciences2076-34172020-11-011023835810.3390/app10238358Neuromorphic Spatiotemporal Information Processing Using Neuro-Photodetector SystemsMohit Kumar0Joondong Kim1Photoelectric and Energy Device Application Lab (PEDAL), Multidisciplinary Core Institute for Future Energies (MCIFE), Incheon 22012, KoreaPhotoelectric and Energy Device Application Lab (PEDAL), Multidisciplinary Core Institute for Future Energies (MCIFE), Incheon 22012, KoreaSpatiotemporal information processing within the human brain is done by a joint task of neurons and synapses with direct optical inputs. Therefore, to mimic this neurofunction using photonic devices could be an essential step to design future artificial visual recognition and memory storage systems. Herein, we proposed and developed a proof-of-principle two-terminal device that exhibits key features of neuron (integration, leaky, and relaxation) and synapse (short- and long-term memory) together in response with direct optical input stimuli. Importantly, these devices with processing and memory features, are further effectively integrated to build an artificial neural network, which are enabled to do neuromorphic spatiotemporal image sensing. Our approach provides a simple but effective route to implement for an artificial visual recognition system, which also has applications in edge computing and the internet of things.https://www.mdpi.com/2076-3417/10/23/8358photonic devicessynapseartificial recognition |
spellingShingle | Mohit Kumar Joondong Kim Neuromorphic Spatiotemporal Information Processing Using Neuro-Photodetector Systems Applied Sciences photonic devices synapse artificial recognition |
title | Neuromorphic Spatiotemporal Information Processing Using Neuro-Photodetector Systems |
title_full | Neuromorphic Spatiotemporal Information Processing Using Neuro-Photodetector Systems |
title_fullStr | Neuromorphic Spatiotemporal Information Processing Using Neuro-Photodetector Systems |
title_full_unstemmed | Neuromorphic Spatiotemporal Information Processing Using Neuro-Photodetector Systems |
title_short | Neuromorphic Spatiotemporal Information Processing Using Neuro-Photodetector Systems |
title_sort | neuromorphic spatiotemporal information processing using neuro photodetector systems |
topic | photonic devices synapse artificial recognition |
url | https://www.mdpi.com/2076-3417/10/23/8358 |
work_keys_str_mv | AT mohitkumar neuromorphicspatiotemporalinformationprocessingusingneurophotodetectorsystems AT joondongkim neuromorphicspatiotemporalinformationprocessingusingneurophotodetectorsystems |