Temporal dynamics of visual representations in the infant brain
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved..
Tools from computational neuroscience have facilitated the investigation of the neural correlates of mental representations. However, access to the representational content of neural activations early in life has remained limited. We asked whether patterns of neural activity elicited by complex visual stimuli (animals, human body) could be decoded from EEG data gathered from 12-15-month-old infants and adult controls. We assessed pairwise classification accuracy at each time-point after stimulus onset, for individual infants and adults. Classification accuracies rose above chance in both groups, within 500 ms. In contrast to adults, neural representations in infants were not linearly separable across visual domains. Representations were similar within, but not across, age groups. These findings suggest a developmental reorganization of visual representations between the second year of life and adulthood and provide a promising proof-of-concept for the feasibility of decoding EEG data within-subject to assess how the infant brain dynamically represents visual objects.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:45 |
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| Enthalten in: |
Developmental cognitive neuroscience - 45(2020) vom: 02. Okt., Seite 100860 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Bayet, Laurie [VerfasserIn] |
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| Links: |
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| Themen: |
Animals |
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| Anmerkungen: |
Date Completed 06.01.2021 Date Revised 20.09.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.dcn.2020.100860 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved. | ||
| 520 | |a Tools from computational neuroscience have facilitated the investigation of the neural correlates of mental representations. However, access to the representational content of neural activations early in life has remained limited. We asked whether patterns of neural activity elicited by complex visual stimuli (animals, human body) could be decoded from EEG data gathered from 12-15-month-old infants and adult controls. We assessed pairwise classification accuracy at each time-point after stimulus onset, for individual infants and adults. Classification accuracies rose above chance in both groups, within 500 ms. In contrast to adults, neural representations in infants were not linearly separable across visual domains. Representations were similar within, but not across, age groups. These findings suggest a developmental reorganization of visual representations between the second year of life and adulthood and provide a promising proof-of-concept for the feasibility of decoding EEG data within-subject to assess how the infant brain dynamically represents visual objects | ||
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| 700 | 1 | |a Aslin, Richard N |e verfasserin |4 aut | |
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