Paper
1 August 2023 New progress in brain-like collaborative control based on brain inspiration
Lili Zhou, Qi Liu, Fulin Gao, Tongjun Liu
Author Affiliations +
Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127543Q (2023) https://doi.org/10.1117/12.2684503
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China
Abstract
Brain-inspired intelligence is recognized as one of the important research directions of artificial intelligence. It is also an important supplement to brain science and brain medicine. At present, the research of Brain-inspired intelligence still focuses on traditional computer science. There are still many difficulties to overcome on the way of brain inspiration and imitation. In this paper, based on the Spiking Neural Network, the traditional Spiking Neural Network is optimized by brain inspired method to establish a Brain-inspired cooperative control system. This system will provide a new idea for the development of humanoid robot and exoskeleton technology.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lili Zhou, Qi Liu, Fulin Gao, and Tongjun Liu "New progress in brain-like collaborative control based on brain inspiration", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127543Q (1 August 2023); https://doi.org/10.1117/12.2684503
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KEYWORDS
Brain

Neurons

Neural networks

Artificial neural networks

Control systems

Artificial intelligence

Data processing

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