A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning
A meta-analysis of non-human primates performing three different tasks (Object-Match, Category-Match, and Category-Saccade associations) revealed signatures of explicit and implicit learning. Performance improved equally following correct and error trials in the Match (explicit) tasks, but it improv...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Elsevier BV
2020
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| Online Access: | https://hdl.handle.net/1721.1/126229 |
| _version_ | 1826200392380186624 |
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| author | Loonis, Roman Florian Brincat, Scott Louis Antzoulatos, Evan G. Miller, Earl K |
| author2 | Picower Institute for Learning and Memory |
| author_facet | Picower Institute for Learning and Memory Loonis, Roman Florian Brincat, Scott Louis Antzoulatos, Evan G. Miller, Earl K |
| author_sort | Loonis, Roman Florian |
| collection | MIT |
| description | A meta-analysis of non-human primates performing three different tasks (Object-Match, Category-Match, and Category-Saccade associations) revealed signatures of explicit and implicit learning. Performance improved equally following correct and error trials in the Match (explicit) tasks, but it improved more after correct trials in the Saccade (implicit) task, a signature of explicit versus implicit learning. Likewise, error-related negativity, a marker for error processing, was greater in the Match (explicit) tasks. All tasks showed an increase in alpha/beta (10–30 Hz) synchrony after correct choices. However, only the implicit task showed an increase in theta (3–7 Hz) synchrony after correct choices that decreased with learning. In contrast, in the explicit tasks, alpha/beta synchrony increased with learning and decreased thereafter. Our results suggest that explicit versus implicit learning engages different neural mechanisms that rely on different patterns of oscillatory synchrony. Loonis et al. find that explicit and implicit learning use feedback about correct choices versus errors differently. Implicit learning relies more on theta synchrony (3–7 Hz) while explicit learning relies on alpha/beta synchrony (10–30 Hz). ©2017 Elsevier Inc. |
| first_indexed | 2024-09-23T11:35:41Z |
| format | Article |
| id | mit-1721.1/126229 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:35:41Z |
| publishDate | 2020 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1262292022-09-27T20:35:40Z A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning Loonis, Roman Florian Brincat, Scott Louis Antzoulatos, Evan G. Miller, Earl K Picower Institute for Learning and Memory Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences A meta-analysis of non-human primates performing three different tasks (Object-Match, Category-Match, and Category-Saccade associations) revealed signatures of explicit and implicit learning. Performance improved equally following correct and error trials in the Match (explicit) tasks, but it improved more after correct trials in the Saccade (implicit) task, a signature of explicit versus implicit learning. Likewise, error-related negativity, a marker for error processing, was greater in the Match (explicit) tasks. All tasks showed an increase in alpha/beta (10–30 Hz) synchrony after correct choices. However, only the implicit task showed an increase in theta (3–7 Hz) synchrony after correct choices that decreased with learning. In contrast, in the explicit tasks, alpha/beta synchrony increased with learning and decreased thereafter. Our results suggest that explicit versus implicit learning engages different neural mechanisms that rely on different patterns of oscillatory synchrony. Loonis et al. find that explicit and implicit learning use feedback about correct choices versus errors differently. Implicit learning relies more on theta synchrony (3–7 Hz) while explicit learning relies on alpha/beta synchrony (10–30 Hz). ©2017 Elsevier Inc. NIMH R37MH08702 NIMH R01MH06525 The Picower Institute Innovation Fund 2020-07-16T19:44:06Z 2020-07-16T19:44:06Z 2017-10 2019-10-03T13:48:09Z Article http://purl.org/eprint/type/JournalArticle 1097-4199 https://hdl.handle.net/1721.1/126229 Loonis, Roman F. et al., "A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning." Neuron 96, 2 (October 2017): p. 521-534.e7 doi. 10.1016/j.neuron.2017.09.032 ©2017 Authors en https://dx.doi.org/10.1016/J.NEURON.2017.09.032 Neuron Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV PMC |
| spellingShingle | Loonis, Roman Florian Brincat, Scott Louis Antzoulatos, Evan G. Miller, Earl K A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning |
| title | A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning |
| title_full | A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning |
| title_fullStr | A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning |
| title_full_unstemmed | A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning |
| title_short | A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning |
| title_sort | meta analysis suggests different neural correlates for implicit and explicit learning |
| url | https://hdl.handle.net/1721.1/126229 |
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