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All-Optically Controlled Artificial Synapses Based on Light-Induced Adsorption and Desorption for Neuromorphic Vision
Jiran Liang1,2, Xuan Yu1,2,3, Jie Qiu4,5
1School of Microelectronics, Tianjin University, Tianjin 300072, China.
ACS Applied Materials & Interfaces
|February 8, 2023
Summary
Researchers developed an all-optical artificial synapse using graphene/titanium dioxide quantum dots. This device enables light-controlled synaptic functions for advanced neuromorphic visual systems, mimicking retinal capabilities.
Area of Science:
- Materials Science
- Neuroscience
- Computer Engineering
Background:
- Artificial synapses are key for neuromorphic visual systems.
- Current optical synapses often require complex electrical and optical stimuli.
- This limits processing speed and system integration.
Purpose of the Study:
- To develop an all-optically controlled artificial synapse.
- To overcome limitations of existing artificial optical synapses.
- To demonstrate synaptic functions and neuromorphic applications.
Main Methods:
- Fabrication of a graphene/titanium dioxide quantum dot heterostructure.
- Utilizing light-induced oxygen adsorption/desorption for conductance modulation.
- Implementing synaptic behaviors and an artificial neural network simulator.
Main Results:
- Achieved reversible, light-controlled synaptic conductance modulation.
- Demonstrated excitatory/inhibitory and plasticity behaviors.
- Attained 92.2% recognition rate for handwritten digits using the artificial synapse network.
- Fabricated a 5x5 optical synaptic array mimicking retinal function.
Conclusions:
- The all-optically controlled artificial synapse offers a simplified approach for neuromorphic systems.
- The device shows potential for perception, learning, and memory tasks in visual systems.
- This technology paves the way for advanced, bio-inspired computing architectures.
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