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Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks
Yi Zhang1, Zhuohui Huang1, Jie Jiang1
1Hunan Key Laboratory of Nanophotonics and Devices, Hunan Key Laboratory of Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan, China.
Science and Technology of Advanced Materials
|April 3, 2023
Summary
Neuromorphic computing, using optoelectronic devices, offers a solution to data processing limitations. These brain-inspired systems show promise for advanced visual bionics applications.
Area of Science:
- Materials Science
- Neuroscience
- Computer Engineering
Background:
- Traditional von Neumann architecture struggles with data explosion demands.
- Neuromorphic computing offers a paradigm shift for intelligent computation.
- Optogenetics and photosensitive materials are advancing neuromorphic device research.
Purpose of the Study:
- To review visual bionic applications of optoelectronic synaptic devices.
- To discuss device principles and mechanisms for visual perception.
- To outline challenges and future directions in optoelectronic neuromorphic devices.
Main Methods:
- Introduction to bio-vision formation principles.
- Discussion of optoelectronic memristor and transistor structures and mechanisms.
- Review of recent progress in optoelectronic synaptic devices for visual perception.
Main Results:
- Optoelectronic neuromorphic devices show significant potential in visual bionics.
- Various photosensitive materials enable diverse device functionalities.
- Progress has been made in mimicking visual perception.
Conclusions:
- Optoelectronic synaptic devices are crucial for next-generation neuromorphic chips.
- Further research is needed to overcome challenges in device performance and integration.
- Future development holds promise for advanced visual bionic systems.
