Functional differences between statistical learning with and without explicit training
نویسندگان
چکیده
منابع مشابه
Functional differences between statistical learning with and without explicit training.
Humans are capable of rapidly extracting regularities from environmental input, a process known as statistical learning. This type of learning typically occurs automatically, through passive exposure to environmental input. The presumed function of statistical learning is to optimize processing, allowing the brain to more accurately predict and prepare for incoming input. In this study, we ask ...
متن کاملImplicit and explicit contributions to statistical learning.
Statistical learning allows learners to detect regularities in the environment and appears to emerge automatically as a consequence of experience. Statistical learning paradigms bear many similarities to those of artificial grammar learning and other types of implicit learning. However, whether learning effects in statistical learning tasks are driven by implicit knowledge has not been thorough...
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15 صفحه اولLearning without Training
Achieving high-level skills is generally considered to require intense training, which is thought to optimally engage neuronal plasticity mechanisms. Recent work, however, suggests that intensive training may not be necessary for skill learning. Skills can be effectively acquired by a complementary approach in which the learning occurs in response to mere exposure to repetitive sensory stimulat...
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ژورنال
عنوان ژورنال: Learning & Memory
سال: 2015
ISSN: 1549-5485
DOI: 10.1101/lm.037986.114