期刊
ANNUAL REVIEW OF NEUROSCIENCE, VOL 35
卷 35, 期 -, 页码 391-416出版社
ANNUAL REVIEWS
DOI: 10.1146/annurev-neuro-060909-152832
关键词
transfer; generalization; probabilistic inference; cognitive control; resource allocation; knowledge; hierarchy; learning rules
资金
- NEI NIH HHS [EY-0285, EY-016880] Funding Source: Medline
- NIDA NIH HHS [DA-0346785] Funding Source: Medline
The ability of the human brain to learn is exceptional. Yet, learning is typically quite specific to the exact task used during training, a limiting factor for practical applications such as rehabilitation, workforce training, or education. The possibility of identifying training regimens that have a broad enough impact to transfer to a variety of tasks is thus highly appealing. This work reviews how complex training environments such as action video game play may actually foster brain plasticity and learning. This enhanced learning capacity, termed learning to learn, is considered in light of its computational requirements and putative neural mechanisms.
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