Task-evoked activity quenches neural correlations and variability across cortical areas
Copyright: © 2020 Ito et al. 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 credited. Many large-scale functional connect...
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2021
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| Online Access: | https://hdl.handle.net/1721.1/135468 |
| _version_ | 1826198171816034304 |
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| author | Ito, Takuya Brincat, Scott L Siegel, Markus Mill, Ravi D He, Biyu J Miller, Earl K Rotstein, Horacio G Cole, Michael W |
| author2 | Picower Institute for Learning and Memory |
| author_facet | Picower Institute for Learning and Memory Ito, Takuya Brincat, Scott L Siegel, Markus Mill, Ravi D He, Biyu J Miller, Earl K Rotstein, Horacio G Cole, Michael W |
| author_sort | Ito, Takuya |
| collection | MIT |
| description | Copyright: © 2020 Ito et al. 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 credited. Many large-scale functional connectivity studies have emphasized the importance of communication through increased inter-region correlations during task states. In contrast, local circuit studies have demonstrated that task states primarily reduce correlations among pairs of neurons, likely enhancing their information coding by suppressing shared spontaneous activity. Here we sought to adjudicate between these conflicting perspectives, assessing whether co-active brain regions during task states tend to increase or decrease their correlations. We found that variability and correlations primarily decrease across a variety of cortical regions in two highly distinct data sets: non-human primate spiking data and human functional magnetic resonance imaging data. Moreover, this observed variability and correlation reduction was accompanied by an overall increase in dimensionality (reflecting less information redundancy) during task states, suggesting that decreased correlations increased information coding capacity. We further found in both spiking and neural mass computational models that task-evoked activity increased the stability around a stable attractor, globally quenching neural variability and correlations. Together, our results provide an integrative mechanistic account that encompasses measures of large-scale neural activity, variability, and correlations during resting and task states. |
| first_indexed | 2024-09-23T11:00:46Z |
| format | Article |
| id | mit-1721.1/135468 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:00:46Z |
| publishDate | 2021 |
| publisher | Public Library of Science (PLoS) |
| record_format | dspace |
| spelling | mit-1721.1/1354682023-12-22T21:10:47Z Task-evoked activity quenches neural correlations and variability across cortical areas Ito, Takuya Brincat, Scott L Siegel, Markus Mill, Ravi D He, Biyu J Miller, Earl K Rotstein, Horacio G Cole, Michael W Picower Institute for Learning and Memory Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Copyright: © 2020 Ito et al. 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 credited. Many large-scale functional connectivity studies have emphasized the importance of communication through increased inter-region correlations during task states. In contrast, local circuit studies have demonstrated that task states primarily reduce correlations among pairs of neurons, likely enhancing their information coding by suppressing shared spontaneous activity. Here we sought to adjudicate between these conflicting perspectives, assessing whether co-active brain regions during task states tend to increase or decrease their correlations. We found that variability and correlations primarily decrease across a variety of cortical regions in two highly distinct data sets: non-human primate spiking data and human functional magnetic resonance imaging data. Moreover, this observed variability and correlation reduction was accompanied by an overall increase in dimensionality (reflecting less information redundancy) during task states, suggesting that decreased correlations increased information coding capacity. We further found in both spiking and neural mass computational models that task-evoked activity increased the stability around a stable attractor, globally quenching neural variability and correlations. Together, our results provide an integrative mechanistic account that encompasses measures of large-scale neural activity, variability, and correlations during resting and task states. 2021-10-27T20:23:34Z 2021-10-27T20:23:34Z 2020 2021-03-18T17:57:52Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135468 en 10.1371/JOURNAL.PCBI.1007983 PLoS Computational Biology Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Public Library of Science (PLoS) PLoS |
| spellingShingle | Ito, Takuya Brincat, Scott L Siegel, Markus Mill, Ravi D He, Biyu J Miller, Earl K Rotstein, Horacio G Cole, Michael W Task-evoked activity quenches neural correlations and variability across cortical areas |
| title | Task-evoked activity quenches neural correlations and variability across cortical areas |
| title_full | Task-evoked activity quenches neural correlations and variability across cortical areas |
| title_fullStr | Task-evoked activity quenches neural correlations and variability across cortical areas |
| title_full_unstemmed | Task-evoked activity quenches neural correlations and variability across cortical areas |
| title_short | Task-evoked activity quenches neural correlations and variability across cortical areas |
| title_sort | task evoked activity quenches neural correlations and variability across cortical areas |
| url | https://hdl.handle.net/1721.1/135468 |
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