Associative Learning
Observational Learning
Elaborative Rehearsals
Real-World Application of Classical Conditioning
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
Long-term Potentiation
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Yunzhe Liu1,2,3,4, Marcelo G Mattar5, Timothy E J Behrens6,7
1State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. yunzhe.liu@bnu.edu.cn.
神经回放有助于将时间和空间分离的行为与结果联系起来. 这种反向重复机制有助于解决复杂的学分分配问题,从而提高学习效率.
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