Memorability reflects statistical regularities of the environment

IF 5.2 2区 医学 Q1 NEUROSCIENCES
Cambria Revsine , Wilma A. Bainbridge
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引用次数: 0

Abstract

The field of statistical learning research has had great success in characterizing people's ability to extract regularities in time and space, but questions remain as to exactly what and how individuals learn over the lifetime. We propose that the field of stimulus memorability research can offer insight to these questions. Sensitivity to memorability, the consistencies in what people remember and forget, is intrinsically linked to statistical learning, as both reflect the prioritization of meaningful input in the environment. Parallels in behavioral responses, developmental trajectories, and neural substrates between the two cognitive processes are discussed. We also offer ways in which both fields can continue to evolve, primarily by using naturalistic, multisensory paradigms, which can lead to a more robust understanding of how statistical learning occurs in the real world.
可记忆性反映了环境的统计规律
统计学习研究领域在描述人们从时间和空间中提取规律的能力方面取得了巨大的成功,但人们在一生中究竟学习了什么以及如何学习的问题仍然存在。我们建议刺激记忆研究领域可以为这些问题提供见解。对记忆的敏感性,即人们记忆和遗忘的一致性,与统计学习有着内在的联系,因为两者都反映了环境中有意义输入的优先级。平行的行为反应,发展轨迹,和神经基质之间的两个认知过程进行了讨论。我们还提供了两个领域可以继续发展的方法,主要是通过使用自然主义的多感官范式,这可以导致对统计学习如何在现实世界中发生的更有力的理解。
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来源期刊
Current Opinion in Neurobiology
Current Opinion in Neurobiology 医学-神经科学
CiteScore
11.10
自引率
1.80%
发文量
130
审稿时长
4-8 weeks
期刊介绍: Current Opinion in Neurobiology publishes short annotated reviews by leading experts on recent developments in the field of neurobiology. These experts write short reviews describing recent discoveries in this field (in the past 2-5 years), as well as highlighting select individual papers of particular significance. The journal is thus an important resource allowing researchers and educators to quickly gain an overview and rich understanding of complex and current issues in the field of Neurobiology. The journal takes a unique and valuable approach in focusing each special issue around a topic of scientific and/or societal interest, and then bringing together leading international experts studying that topic, embracing diverse methodologies and perspectives. Journal Content: The journal consists of 6 issues per year, covering 8 recurring topics every other year in the following categories: -Neurobiology of Disease- Neurobiology of Behavior- Cellular Neuroscience- Systems Neuroscience- Developmental Neuroscience- Neurobiology of Learning and Plasticity- Molecular Neuroscience- Computational Neuroscience
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