Incorporating structural plasticity into self-organization recurrent networks for sequence learning.
Frontiers in neuroscience(2023)
Abstract
Extensive experiments for sequential learning tasks are conducted to demonstrate the representational ability of the RSRN-SP, including counting task, motion prediction, and motion generation. Furthermore, the simulations also indicate that the characteristics arose from the RSRN-SP are consistent with biological observations.
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Key words
structural plasticity,learning,self-organization
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