Zobrazeno 1 - 10
of 67
pro vyhledávání: '"brain‐like computing"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2549 (2024)
Spiking neural networks (SNNs) are known as third generation neural networks due to their energy efficient and low power consumption. SNNs have received a lot of attention due to their biological plausibility. SNNs are closer to the way biological ne
Externí odkaz:
https://doaj.org/article/2d0a4e8c7aed48ca8562641b2fb7e117
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 1937-1952 (2023)
Abstract Spiking Neural Network (SNN) is one of the mainstream frameworks for brain-like computing and neuromorphic computing, which has the potential to overcome current AI challenges, for example, low-power learning dynamic processes. However, ther
Externí odkaz:
https://doaj.org/article/8ccb96779f1f4cdb827c0227d149c930
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Brain-machine interfaces (BMI) have developed rapidly in recent years, but still face critical issues such as accuracy and stability. Ideally, a BMI system would be an implantable neuroprosthesis that would be tightly connected and integrated into th
Externí odkaz:
https://doaj.org/article/5ca8fd0e0d4e429cb09a7af992468abb
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/dc857633809a451687426bddf0a1e522
Akademický článek
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Publikováno v:
Jisuanji kexue yu tansuo, Vol 15, Iss 11, Pp 2127-2141 (2021)
Large-scale brain-like simulation with high performance and low power consumption is one of the most challenging problems in brain-like computing. At present, the implementation of brain-like computing is mainly divided into hardware implementation a
Externí odkaz:
https://doaj.org/article/c924bb15306a4acb9a98fc3f760b1cf4
Autor:
Jian Huang, Wen Ding, Jiarun Zhang, Zhao Li, Ting Shu, Pekka Kuosmanen, Guanqun Zhou, Chuan Zhou, Gang Yu
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Machine learning works similar to the way humans train their brains. In general, previous experiences prepared the brain by firing specific nerve cells in the brain and increasing the weight of the links between them. Machine learning also completes
Externí odkaz:
https://doaj.org/article/a8c5d331a5bb4b03bbd2cd08d011e9c9
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
With the development of technology, Moore's law will come to an end, and scientists are trying to find a new way out in brain-like computing. But we still know very little about how the brain works. At the present stage of research, brain-like models
Externí odkaz:
https://doaj.org/article/522809c305f4451fbd373356c08bb15d
Autor:
Wenxiao Wang, Song Gao, Yaqi Wang, Yang Li, Wenjing Yue, Hongsen Niu, Feifei Yin, Yunjian Guo, Guozhen Shen
Publikováno v:
Advanced Science, Vol 9, Iss 28, Pp n/a-n/a (2022)
Abstract Possessing the merits of high efficiency, low consumption, and versatility, emerging photonic memristive and memristive‐like devices exhibit an attractive future in constructing novel neuromorphic computing and miniaturized bionic electron
Externí odkaz:
https://doaj.org/article/e7b0c7b810ab449cbb460dc94a1ebf39
Akademický článek
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