Advances in Photonic Neural Networks and Neuromorphic Computation
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Optoelectronics".
Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 2410
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the advancement of science and technology and the gradual increase in data exchanges, the amount of data such as images and voices that computers need to process has increased rapidly. However, computers developed based on Moore's Law have encountered the problems of "memory wall" and "power bottleneck", and have gradually become unable to meet these huge data processing needs. In contrast, brain-like computing has shown great advantages such as strong processing performance, simultaneous processing of multiple signals, and a low power consumption. According to research, the adult brain can perform 1016 operations per second on average, and the energy required to perform these operations is only about 20 watts. Although the information processing technology based on microelectronics spiking neural networks has made great achievements, it has encountered bottlenecks as regards energy consumption and speed. The optical platform has great advantages in the field of information processing due to its unique advantages, including fast speed, large bandwidth, and low power consumption. Therefore, neural-like information processing based on the photonic spiking neural network has gradually become a frequently discussed research topic in recent years; however, current research is still in the early stage of exploration.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Photonic neuromorphic systems;
- Photonic spiking neural networks;
- Information processing of neural-like properties;
- Synaptic-like properties.
Dr. Yahui Zhang
Guest Editor
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Keywords
- photonic neuromorphic system
- photonic spiking neural network
- information processing
- neural-like properties
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