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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Main Authors: Mohit Kumar, Joondong Kim
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
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.
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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