Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks
Backpropagation has been regarded as the most favorable algorithm for training artificial neural networks. However, it has been criticized for its biological implausibility because its learning mechanism contradicts the human brain. Although backpropagation has achieved super-human performance in va...
Main Authors: | Jangho Lee, Jeonghee Jo, Byounghwa Lee, Jung-Hoon Lee, Sungroh Yoon |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-11-01
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Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2022.1062678/full |
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