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Circumventing a long-time frustration in neural computing
Professor Se-Bum Paik's research team in the Department of Brain Cognitive Sciences solved the weight transport problem, a long-standing challenge in neural network learning, and through this ...
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Brain-inspired chaotic spiking backpropagation
More information: Zijian Wang et al, Brain-inspired chaotic spiking backpropagation, National Science Review (2024). DOI: 10.1093/nsr/nwae037 Provided by Science China Press ...
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KAIST proposes a new way to circumvent a long-time frustration in neural computing
The human brain begins learning through spontaneous random activities even before it receives sensory information from the external world. The technology developed by the KAIST research team ...