How does the brain learn environmental structure? Ten core principles for understanding the neurocognitive mechanisms of statistical learning

Publication date: Available online 1 February 2020Source: Neuroscience &Biobehavioral ReviewsAuthor(s): Christopher M. ConwayAbstractDespite a growing body of research devoted to the study of how humans encode environmental patterns, there is still no clear consensus about the nature of the neurocognitive mechanisms underpinning statistical learning nor what factors constrain or promote its emergence across individuals, species, and learning situations. Based on a review of research examining the roles of input modality and domain, input structure and complexity, attention, neuroanatomical bases, ontogeny, and phylogeny, ten core principles are proposed. Specifically, there exist two sets of neurocognitive mechanisms underlying statistical learning. First, a “suite” of associative-based, automatic, modality-specific learning mechanisms are mediated by the general principle of cortical plasticity, which results in improved processing and perceptual facilitation of encountered stimuli. Second, an attention-dependent system, mediated by the prefrontal cortex and related attentional and working memory networks, can modulate or gate learning and is necessary in order to learn nonadjacent dependencies and to integrate global patterns across time. This theoretical framework helps clarify conflicting research findings and provides the basis for future empirical and theoretical endeavors.
Source: Neuroscience and Biobehavioral Reviews - Category: Neuroscience Source Type: research

Related Links:

Publication date: Available online 31 March 2020Source: Heart &LungAuthor(s): Brittany D. Rhoades, Jennifer E.Sanner Beauchamp, Joan C. Engebretson, Diane Wind Wardell
Source: Heart and Lung: The Journal of Acute and Critical Care - Category: Respiratory Medicine Source Type: research
Publication date: Available online 30 March 2020Source: Heart &LungAuthor(s): Kyle J. Brandenberger, Rachel Culbreth, Samuel Shan, Douglas S. Gardenhire, Gordon L. Warren
Source: Heart and Lung: The Journal of Acute and Critical Care - Category: Respiratory Medicine Source Type: research
Publication date: October 2020Source: Nonlinear Analysis: Real World Applications, Volume 55Author(s): Chi Phan, Yuncheng You
Source: Nonlinear Analysis: Real World Applications - Category: Research Source Type: research
Publication date: Available online 30 March 2020Source: Journal of Advanced ResearchAuthor(s): Jose S. Velázquez, Francisco Cavas, David P. Piñero, Francisco J.F. Cañavate, Jorge Alio del Barrio, Jorge L. Alio
Source: Journal of Advanced Research - Category: Research Source Type: research
Publication date: Available online 30 March 2020Source: Journal of Advanced ResearchAuthor(s): Sattar Abdul, Abbasi Majid, Jinxia Wang, Qinlong Liu, Ming-Zhong Sun, Shuqing Liu
Source: Journal of Advanced Research - Category: Research Source Type: research
Publication date: Available online 30 March 2020Source: Diagnostic and Interventional ImagingAuthor(s): G. Ambroise Grandjean, P. Berveiller, G. Hossu, P. Noble, M. Chamagne, O. Morel
Source: Diagnostic and Interventional Imaging - Category: Radiology Source Type: research
Publication date: 2020Source: European Journal of Radiology Open, Volume 7Author(s): Jonas Widell, Mats Lidén
Source: European Journal of Radiology Open - Category: Radiology Source Type: research
Publication date: May 2020Source: European Journal of Radiology, Volume 126Author(s): Xue-gang Yang, Ge Wu, Yan-yuan Sun, Hua-rong Pang, Xiao-qi Huang, Guo-hui Xu
Source: European Journal of Radiology - Category: Radiology Source Type: research
Publication date: Available online 30 March 2020Source: Academic RadiologyAuthor(s): Eric England, Maitray D. Patel, Sheryl Jordan, Vivek Kalia, Kamran Ali, Carolynn M. DeBenedectis, Glenn C. Gaviola, Christopher P. Ho, James M. Milburn, Seng Ong, David S. Sarkany, Ann K. Jay, Jessica B. Robbins, Darel E. Heitkamp
Source: Academic Radiology - Category: Radiology Source Type: research
Publication date: Available online 30 March 2020Source: Academic RadiologyAuthor(s): Hongdan Zhang, Li Xu, Zhiping Zhong, Yupin Liu, Yu Long, Shuqin Zhou
Source: Academic Radiology - Category: Radiology Source Type: research
More News: Brain | Environmental Health | Learning | Neurology | Neuroscience | Statistics | Study | Universities & Medical Training