A power law describes the magnitude of adaptation in neural populations of primary visual cortex
Abstract How do neural populations adapt to the time-varying statistics of sensory input? We used two-photon imaging to measure the activity of neurons in mouse primary visual cortex adapted to different sensory environments, each defined by a distinct probability distribution over a stimulus set. W...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-43572-w |
| _version_ | 1827581487112781824 |
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| author | Elaine Tring Mario Dipoppa Dario L. Ringach |
| author_facet | Elaine Tring Mario Dipoppa Dario L. Ringach |
| author_sort | Elaine Tring |
| collection | DOAJ |
| description | Abstract How do neural populations adapt to the time-varying statistics of sensory input? We used two-photon imaging to measure the activity of neurons in mouse primary visual cortex adapted to different sensory environments, each defined by a distinct probability distribution over a stimulus set. We find that two properties of adaptation capture how the population response to a given stimulus, viewed as a vector, changes across environments. First, the ratio between the response magnitudes is a power law of the ratio between the stimulus probabilities. Second, the response direction to a stimulus is largely invariant. These rules could be used to predict how cortical populations adapt to novel, sensory environments. Finally, we show how the power law enables the cortex to preferentially signal unexpected stimuli and to adjust the metabolic cost of its sensory representation to the entropy of the environment. |
| first_indexed | 2024-03-08T22:37:08Z |
| format | Article |
| id | doaj.art-2be42cb190a74433b4fc427f6e8acbcb |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-08T22:37:08Z |
| publishDate | 2023-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-2be42cb190a74433b4fc427f6e8acbcb2023-12-17T12:24:03ZengNature PortfolioNature Communications2041-17232023-12-0114111210.1038/s41467-023-43572-wA power law describes the magnitude of adaptation in neural populations of primary visual cortexElaine Tring0Mario Dipoppa1Dario L. Ringach2Department of Neurobiology, David Geffen School of Medicine, University of California, Los AngelesDepartment of Neurobiology, David Geffen School of Medicine, University of California, Los AngelesDepartment of Neurobiology, David Geffen School of Medicine, University of California, Los AngelesAbstract How do neural populations adapt to the time-varying statistics of sensory input? We used two-photon imaging to measure the activity of neurons in mouse primary visual cortex adapted to different sensory environments, each defined by a distinct probability distribution over a stimulus set. We find that two properties of adaptation capture how the population response to a given stimulus, viewed as a vector, changes across environments. First, the ratio between the response magnitudes is a power law of the ratio between the stimulus probabilities. Second, the response direction to a stimulus is largely invariant. These rules could be used to predict how cortical populations adapt to novel, sensory environments. Finally, we show how the power law enables the cortex to preferentially signal unexpected stimuli and to adjust the metabolic cost of its sensory representation to the entropy of the environment.https://doi.org/10.1038/s41467-023-43572-w |
| spellingShingle | Elaine Tring Mario Dipoppa Dario L. Ringach A power law describes the magnitude of adaptation in neural populations of primary visual cortex Nature Communications |
| title | A power law describes the magnitude of adaptation in neural populations of primary visual cortex |
| title_full | A power law describes the magnitude of adaptation in neural populations of primary visual cortex |
| title_fullStr | A power law describes the magnitude of adaptation in neural populations of primary visual cortex |
| title_full_unstemmed | A power law describes the magnitude of adaptation in neural populations of primary visual cortex |
| title_short | A power law describes the magnitude of adaptation in neural populations of primary visual cortex |
| title_sort | power law describes the magnitude of adaptation in neural populations of primary visual cortex |
| url | https://doi.org/10.1038/s41467-023-43572-w |
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