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Neural Mechanisms of Human Perceptual Learning: Electrophysiological Evidence for a Two-Stage Process

BACKGROUND: Humans and other animals change the way they perceive the world due to experience. This process has been labeled as perceptual learning, and implies that adult nervous systems can adaptively modify the way in which they process sensory stimulation. However, the mechanisms by which the br...

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Autores principales: Hamamé, Carlos M., Cosmelli, Diego, Henriquez, Rodrigo, Aboitiz, Francisco
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3082555/
https://www.ncbi.nlm.nih.gov/pubmed/21541280
http://dx.doi.org/10.1371/journal.pone.0019221
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author Hamamé, Carlos M.
Cosmelli, Diego
Henriquez, Rodrigo
Aboitiz, Francisco
author_facet Hamamé, Carlos M.
Cosmelli, Diego
Henriquez, Rodrigo
Aboitiz, Francisco
author_sort Hamamé, Carlos M.
collection PubMed
description BACKGROUND: Humans and other animals change the way they perceive the world due to experience. This process has been labeled as perceptual learning, and implies that adult nervous systems can adaptively modify the way in which they process sensory stimulation. However, the mechanisms by which the brain modifies this capacity have not been sufficiently analyzed. METHODOLOGY/PRINCIPAL FINDINGS: We studied the neural mechanisms of human perceptual learning by combining electroencephalographic (EEG) recordings of brain activity and the assessment of psychophysical performance during training in a visual search task. All participants improved their perceptual performance as reflected by an increase in sensitivity (d') and a decrease in reaction time. The EEG signal was acquired throughout the entire experiment revealing amplitude increments, specific and unspecific to the trained stimulus, in event-related potential (ERP) components N2pc and P3 respectively. P3 unspecific modification can be related to context or task-based learning, while N2pc may be reflecting a more specific attentional-related boosting of target detection. Moreover, bell and U-shaped profiles of oscillatory brain activity in gamma (30–60 Hz) and alpha (8–14 Hz) frequency bands may suggest the existence of two phases for learning acquisition, which can be understood as distinctive optimization mechanisms in stimulus processing. CONCLUSIONS/SIGNIFICANCE: We conclude that there are reorganizations in several neural processes that contribute differently to perceptual learning in a visual search task. We propose an integrative model of neural activity reorganization, whereby perceptual learning takes place as a two-stage phenomenon including perceptual, attentional and contextual processes.
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spelling pubmed-30825552011-05-03 Neural Mechanisms of Human Perceptual Learning: Electrophysiological Evidence for a Two-Stage Process Hamamé, Carlos M. Cosmelli, Diego Henriquez, Rodrigo Aboitiz, Francisco PLoS One Research Article BACKGROUND: Humans and other animals change the way they perceive the world due to experience. This process has been labeled as perceptual learning, and implies that adult nervous systems can adaptively modify the way in which they process sensory stimulation. However, the mechanisms by which the brain modifies this capacity have not been sufficiently analyzed. METHODOLOGY/PRINCIPAL FINDINGS: We studied the neural mechanisms of human perceptual learning by combining electroencephalographic (EEG) recordings of brain activity and the assessment of psychophysical performance during training in a visual search task. All participants improved their perceptual performance as reflected by an increase in sensitivity (d') and a decrease in reaction time. The EEG signal was acquired throughout the entire experiment revealing amplitude increments, specific and unspecific to the trained stimulus, in event-related potential (ERP) components N2pc and P3 respectively. P3 unspecific modification can be related to context or task-based learning, while N2pc may be reflecting a more specific attentional-related boosting of target detection. Moreover, bell and U-shaped profiles of oscillatory brain activity in gamma (30–60 Hz) and alpha (8–14 Hz) frequency bands may suggest the existence of two phases for learning acquisition, which can be understood as distinctive optimization mechanisms in stimulus processing. CONCLUSIONS/SIGNIFICANCE: We conclude that there are reorganizations in several neural processes that contribute differently to perceptual learning in a visual search task. We propose an integrative model of neural activity reorganization, whereby perceptual learning takes place as a two-stage phenomenon including perceptual, attentional and contextual processes. Public Library of Science 2011-04-26 /pmc/articles/PMC3082555/ /pubmed/21541280 http://dx.doi.org/10.1371/journal.pone.0019221 Text en Hamamé et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hamamé, Carlos M.
Cosmelli, Diego
Henriquez, Rodrigo
Aboitiz, Francisco
Neural Mechanisms of Human Perceptual Learning: Electrophysiological Evidence for a Two-Stage Process
title Neural Mechanisms of Human Perceptual Learning: Electrophysiological Evidence for a Two-Stage Process
title_full Neural Mechanisms of Human Perceptual Learning: Electrophysiological Evidence for a Two-Stage Process
title_fullStr Neural Mechanisms of Human Perceptual Learning: Electrophysiological Evidence for a Two-Stage Process
title_full_unstemmed Neural Mechanisms of Human Perceptual Learning: Electrophysiological Evidence for a Two-Stage Process
title_short Neural Mechanisms of Human Perceptual Learning: Electrophysiological Evidence for a Two-Stage Process
title_sort neural mechanisms of human perceptual learning: electrophysiological evidence for a two-stage process
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3082555/
https://www.ncbi.nlm.nih.gov/pubmed/21541280
http://dx.doi.org/10.1371/journal.pone.0019221
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