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Surprise response as a probe for compressed memory states
The limited capacity of recent memory inevitably leads to partial memory of past stimuli. There is also evidence that behavioral and neural responses to novel or rare stimuli are dependent on one’s memory of past stimuli. Thus, these responses may serve as a probe of different individuals’ rememberi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018098/ https://www.ncbi.nlm.nih.gov/pubmed/32012146 http://dx.doi.org/10.1371/journal.pcbi.1007065 |
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author | Levi-Aharoni, Hadar Shriki, Oren Tishby, Naftali |
author_facet | Levi-Aharoni, Hadar Shriki, Oren Tishby, Naftali |
author_sort | Levi-Aharoni, Hadar |
collection | PubMed |
description | The limited capacity of recent memory inevitably leads to partial memory of past stimuli. There is also evidence that behavioral and neural responses to novel or rare stimuli are dependent on one’s memory of past stimuli. Thus, these responses may serve as a probe of different individuals’ remembering and forgetting characteristics. Here, we utilize two lossy compression models of stimulus sequences that inherently involve forgetting, which in addition to being a necessity under many conditions, also has theoretical and behavioral advantages. One model is based on a simple stimulus counter and the other on the Information Bottleneck (IB) framework which suggests a more general, theoretically justifiable principle for biological and cognitive phenomena. These models are applied to analyze a novelty-detection event-related potential commonly known as the P300. The trial-by-trial variations of the P300 response, recorded in an auditory oddball paradigm, were subjected to each model to extract two stimulus-compression parameters for each subject: memory length and representation accuracy. These parameters were then utilized to estimate the subjects’ recent memory capacity limit under the task conditions. The results, along with recently published findings on single neurons and the IB model, underscore how a lossy compression framework can be utilized to account for trial-by-trial variability of neural responses at different spatial scales and in different individuals, while at the same time providing estimates of individual memory characteristics at different levels of representation using a theoretically-based parsimonious model. |
format | Online Article Text |
id | pubmed-7018098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-70180982020-02-26 Surprise response as a probe for compressed memory states Levi-Aharoni, Hadar Shriki, Oren Tishby, Naftali PLoS Comput Biol Research Article The limited capacity of recent memory inevitably leads to partial memory of past stimuli. There is also evidence that behavioral and neural responses to novel or rare stimuli are dependent on one’s memory of past stimuli. Thus, these responses may serve as a probe of different individuals’ remembering and forgetting characteristics. Here, we utilize two lossy compression models of stimulus sequences that inherently involve forgetting, which in addition to being a necessity under many conditions, also has theoretical and behavioral advantages. One model is based on a simple stimulus counter and the other on the Information Bottleneck (IB) framework which suggests a more general, theoretically justifiable principle for biological and cognitive phenomena. These models are applied to analyze a novelty-detection event-related potential commonly known as the P300. The trial-by-trial variations of the P300 response, recorded in an auditory oddball paradigm, were subjected to each model to extract two stimulus-compression parameters for each subject: memory length and representation accuracy. These parameters were then utilized to estimate the subjects’ recent memory capacity limit under the task conditions. The results, along with recently published findings on single neurons and the IB model, underscore how a lossy compression framework can be utilized to account for trial-by-trial variability of neural responses at different spatial scales and in different individuals, while at the same time providing estimates of individual memory characteristics at different levels of representation using a theoretically-based parsimonious model. Public Library of Science 2020-02-03 /pmc/articles/PMC7018098/ /pubmed/32012146 http://dx.doi.org/10.1371/journal.pcbi.1007065 Text en © 2020 Levi-Aharoni 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Levi-Aharoni, Hadar Shriki, Oren Tishby, Naftali Surprise response as a probe for compressed memory states |
title | Surprise response as a probe for compressed memory states |
title_full | Surprise response as a probe for compressed memory states |
title_fullStr | Surprise response as a probe for compressed memory states |
title_full_unstemmed | Surprise response as a probe for compressed memory states |
title_short | Surprise response as a probe for compressed memory states |
title_sort | surprise response as a probe for compressed memory states |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018098/ https://www.ncbi.nlm.nih.gov/pubmed/32012146 http://dx.doi.org/10.1371/journal.pcbi.1007065 |
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