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Predicting episodic memory formation for movie events
Episodic memories are long lasting and full of detail, yet imperfect and malleable. We quantitatively evaluated recollection of short audiovisual segments from movies as a proxy to real-life memory formation in 161 subjects at 15 minutes up to a year after encoding. Memories were reproducible within...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5043190/ https://www.ncbi.nlm.nih.gov/pubmed/27686330 http://dx.doi.org/10.1038/srep30175 |
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author | Tang, Hanlin Singer, Jed Ison, Matias J. Pivazyan, Gnel Romaine, Melissa Frias, Rosa Meller, Elizabeth Boulin, Adrianna Carroll, James Perron, Victoria Dowcett, Sarah Arellano, Marlise Kreiman, Gabriel |
author_facet | Tang, Hanlin Singer, Jed Ison, Matias J. Pivazyan, Gnel Romaine, Melissa Frias, Rosa Meller, Elizabeth Boulin, Adrianna Carroll, James Perron, Victoria Dowcett, Sarah Arellano, Marlise Kreiman, Gabriel |
author_sort | Tang, Hanlin |
collection | PubMed |
description | Episodic memories are long lasting and full of detail, yet imperfect and malleable. We quantitatively evaluated recollection of short audiovisual segments from movies as a proxy to real-life memory formation in 161 subjects at 15 minutes up to a year after encoding. Memories were reproducible within and across individuals, showed the typical decay with time elapsed between encoding and testing, were fallible yet accurate, and were insensitive to low-level stimulus manipulations but sensitive to high-level stimulus properties. Remarkably, memorability was also high for single movie frames, even one year post-encoding. To evaluate what determines the efficacy of long-term memory formation, we developed an extensive set of content annotations that included actions, emotional valence, visual cues and auditory cues. These annotations enabled us to document the content properties that showed a stronger correlation with recognition memory and to build a machine-learning computational model that accounted for episodic memory formation in single events for group averages and individual subjects with an accuracy of up to 80%. These results provide initial steps towards the development of a quantitative computational theory capable of explaining the subjective filtering steps that lead to how humans learn and consolidate memories. |
format | Online Article Text |
id | pubmed-5043190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50431902016-09-30 Predicting episodic memory formation for movie events Tang, Hanlin Singer, Jed Ison, Matias J. Pivazyan, Gnel Romaine, Melissa Frias, Rosa Meller, Elizabeth Boulin, Adrianna Carroll, James Perron, Victoria Dowcett, Sarah Arellano, Marlise Kreiman, Gabriel Sci Rep Article Episodic memories are long lasting and full of detail, yet imperfect and malleable. We quantitatively evaluated recollection of short audiovisual segments from movies as a proxy to real-life memory formation in 161 subjects at 15 minutes up to a year after encoding. Memories were reproducible within and across individuals, showed the typical decay with time elapsed between encoding and testing, were fallible yet accurate, and were insensitive to low-level stimulus manipulations but sensitive to high-level stimulus properties. Remarkably, memorability was also high for single movie frames, even one year post-encoding. To evaluate what determines the efficacy of long-term memory formation, we developed an extensive set of content annotations that included actions, emotional valence, visual cues and auditory cues. These annotations enabled us to document the content properties that showed a stronger correlation with recognition memory and to build a machine-learning computational model that accounted for episodic memory formation in single events for group averages and individual subjects with an accuracy of up to 80%. These results provide initial steps towards the development of a quantitative computational theory capable of explaining the subjective filtering steps that lead to how humans learn and consolidate memories. Nature Publishing Group 2016-09-30 /pmc/articles/PMC5043190/ /pubmed/27686330 http://dx.doi.org/10.1038/srep30175 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Tang, Hanlin Singer, Jed Ison, Matias J. Pivazyan, Gnel Romaine, Melissa Frias, Rosa Meller, Elizabeth Boulin, Adrianna Carroll, James Perron, Victoria Dowcett, Sarah Arellano, Marlise Kreiman, Gabriel Predicting episodic memory formation for movie events |
title | Predicting episodic memory formation for movie events |
title_full | Predicting episodic memory formation for movie events |
title_fullStr | Predicting episodic memory formation for movie events |
title_full_unstemmed | Predicting episodic memory formation for movie events |
title_short | Predicting episodic memory formation for movie events |
title_sort | predicting episodic memory formation for movie events |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5043190/ https://www.ncbi.nlm.nih.gov/pubmed/27686330 http://dx.doi.org/10.1038/srep30175 |
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