Photoelectric Memristor With Self-Powered for Dynamic Information Recognition

The bionic vision system realizes the functions of optical perception of external information and image information processing. The photoelectric synaptic device is the basic unit of this system. In this work, a HfO2/Bi4Ti3O12 (BIT) heterojunction photoelectric memristor with synaptic behavior is in...

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Published inIEEE transactions on electron devices Vol. 72; no. 6; pp. 3322 - 3326
Main Authors Li, Dong-Liang, Chen, Zhi-Long, Tang, Xin-Gui, Sun, Qi-Jun, Zhang, Dan, Tang, Zhen-Hua, Li, Wen-Hua, Jiang, Yan-Ping
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract The bionic vision system realizes the functions of optical perception of external information and image information processing. The photoelectric synaptic device is the basic unit of this system. In this work, a HfO2/Bi4Ti3O12 (BIT) heterojunction photoelectric memristor with synaptic behavior is introduced. The device generates a persistent photocurrent (PPC) through the capture and release of photogenerated carriers in the heterojunction. Various synaptic behaviors can be simulated under the stimulation of light pulses, including paired-pulse facilitation (PPF), spike-number-dependent plasticity, and spike-width-dependent plasticity. It can also realize the transformation from short-term memory (STM) to long-term memory (LTM). A <inline-formula> <tex-math notation="LaTeX">3\times 5 </tex-math></inline-formula> array is constructed and the time dynamic characteristics of the device are used to distinguish the dynamic input. The physical reservoir built by photoelectric synaptic devices can not only improve the speed of data processing but also achieve efficient data storage, which brings new possibilities for AI in the fields of image recognition, speech recognition, and natural language processing.
AbstractList The bionic vision system realizes the functions of optical perception of external information and image information processing. The photoelectric synaptic device is the basic unit of this system. In this work, a HfO2/Bi4Ti3O12 (BIT) heterojunction photoelectric memristor with synaptic behavior is introduced. The device generates a persistent photocurrent (PPC) through the capture and release of photogenerated carriers in the heterojunction. Various synaptic behaviors can be simulated under the stimulation of light pulses, including paired-pulse facilitation (PPF), spike-number-dependent plasticity, and spike-width-dependent plasticity. It can also realize the transformation from short-term memory (STM) to long-term memory (LTM). A [Formula Omitted] array is constructed and the time dynamic characteristics of the device are used to distinguish the dynamic input. The physical reservoir built by photoelectric synaptic devices can not only improve the speed of data processing but also achieve efficient data storage, which brings new possibilities for AI in the fields of image recognition, speech recognition, and natural language processing.
The bionic vision system realizes the functions of optical perception of external information and image information processing. The photoelectric synaptic device is the basic unit of this system. In this work, a HfO2/Bi4Ti3O12 (BIT) heterojunction photoelectric memristor with synaptic behavior is introduced. The device generates a persistent photocurrent (PPC) through the capture and release of photogenerated carriers in the heterojunction. Various synaptic behaviors can be simulated under the stimulation of light pulses, including paired-pulse facilitation (PPF), spike-number-dependent plasticity, and spike-width-dependent plasticity. It can also realize the transformation from short-term memory (STM) to long-term memory (LTM). A <inline-formula> <tex-math notation="LaTeX">3\times 5 </tex-math></inline-formula> array is constructed and the time dynamic characteristics of the device are used to distinguish the dynamic input. The physical reservoir built by photoelectric synaptic devices can not only improve the speed of data processing but also achieve efficient data storage, which brings new possibilities for AI in the fields of image recognition, speech recognition, and natural language processing.
Author Sun, Qi-Jun
Jiang, Yan-Ping
Tang, Zhen-Hua
Li, Dong-Liang
Chen, Zhi-Long
Zhang, Dan
Tang, Xin-Gui
Li, Wen-Hua
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SubjectTerms Annealing
Bionics
Bismuth titanate
Data processing
Data storage
Dynamic characteristics
Hafnium compounds
Heterojunction
Heterojunctions
Image processing systems
Memristors
Natural language processing
Optical imaging
Optical pulses
persistent photocurrent (PPC)
Photoconductivity
Photoelectric effect
photoelectric memristor
Photoelectricity
physical reservoir
Plastic properties
Scanning electron microscopy
Speech recognition
Synapses
synaptic behaviors
Vision systems
Title Photoelectric Memristor With Self-Powered for Dynamic Information Recognition
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