期刊
CURRENT OPINION IN NEUROBIOLOGY
卷 75, 期 -, 页码 -出版社
CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2022.102555
关键词
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资金
- NIH [R01 NS111477]
- Simons Collaboration on the Global Brain [543015]
- Chrissy Chen Institute for Neuroscience
Animals can learn efficiently from a single experience and adapt their future behavior. Fast learning is related to genetic encoding, while slow learning is acquired through unsupervised learning from the environment.
Animals can learn efficiently from a single experience and change their future behavior in response. However, in other instances, animals learn very slowly, requiring thousands of experiences. Here, I survey tasks involving fast and slow learning and consider some hypotheses for what differentiates the underlying neural mechanisms. It has been proposed that fast learning relies on neural representations that favor efficient Hebbian modification of synapses. These efficient representations may be encoded in the genome, resulting in a repertoire of fast learning that differs across species. Alternatively, the required neural representations may be acquired from experience through a slow process of unsupervised learning from the environment.
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