Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeys
One general principle of sensory information processing is that the brain must optimize efficiency by reducing the number of neurons that process the same information. The sparseness of the sensory representations in a population of neurons reflects the efficiency of the neural code. Here, we employ...
| Main Authors: | , , , , , , |
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| Format: | Article |
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eLife Sciences Publications Ltd
2018-04-01
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| Series: | eLife |
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| Online Access: | https://elifesciences.org/articles/33370 |
| _version_ | 1811252969362948096 |
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| author | Shiming Tang Yimeng Zhang Zhihao Li Ming Li Fang Liu Hongfei Jiang Tai Sing Lee |
| author_facet | Shiming Tang Yimeng Zhang Zhihao Li Ming Li Fang Liu Hongfei Jiang Tai Sing Lee |
| author_sort | Shiming Tang |
| collection | DOAJ |
| description | One general principle of sensory information processing is that the brain must optimize efficiency by reducing the number of neurons that process the same information. The sparseness of the sensory representations in a population of neurons reflects the efficiency of the neural code. Here, we employ large-scale two-photon calcium imaging to examine the responses of a large population of neurons within the superficial layers of area V1 with single-cell resolution, while simultaneously presenting a large set of natural visual stimuli, to provide the first direct measure of the population sparseness in awake primates. The results show that only 0.5% of neurons respond strongly to any given natural image — indicating a ten-fold increase in the inferred sparseness over previous measurements. These population activities are nevertheless necessary and sufficient to discriminate visual stimuli with high accuracy, suggesting that the neural code in the primary visual cortex is both super-sparse and highly efficient. |
| first_indexed | 2024-04-12T16:43:44Z |
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| id | doaj.art-e34c99810e7343829e95dd588937d27b |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T16:43:44Z |
| publishDate | 2018-04-01 |
| publisher | eLife Sciences Publications Ltd |
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| spelling | doaj.art-e34c99810e7343829e95dd588937d27b2022-12-22T03:24:41ZengeLife Sciences Publications LtdeLife2050-084X2018-04-01710.7554/eLife.33370Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeysShiming Tang0https://orcid.org/0000-0003-0294-3259Yimeng Zhang1https://orcid.org/0000-0003-2248-8951Zhihao Li2Ming Li3Fang Liu4Hongfei Jiang5Tai Sing Lee6School of Life Sciences and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China; IDG/McGovern Institute for Brain Research, Peking University, Beijing, China; Key Laboratory of Machine Perception, Peking University, Beijing, ChinaCenter for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, United States; School of Computer Science, Carnegie Mellon University, Pittsburgh, United StatesCenter for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, United States; School of Computer Science, Carnegie Mellon University, Pittsburgh, United StatesSchool of Life Sciences and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China; IDG/McGovern Institute for Brain Research, Peking University, Beijing, China; Key Laboratory of Machine Perception, Peking University, Beijing, ChinaSchool of Life Sciences and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China; IDG/McGovern Institute for Brain Research, Peking University, Beijing, China; Key Laboratory of Machine Perception, Peking University, Beijing, ChinaSchool of Life Sciences and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China; IDG/McGovern Institute for Brain Research, Peking University, Beijing, China; Key Laboratory of Machine Perception, Peking University, Beijing, ChinaCenter for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, United States; School of Computer Science, Carnegie Mellon University, Pittsburgh, United StatesOne general principle of sensory information processing is that the brain must optimize efficiency by reducing the number of neurons that process the same information. The sparseness of the sensory representations in a population of neurons reflects the efficiency of the neural code. Here, we employ large-scale two-photon calcium imaging to examine the responses of a large population of neurons within the superficial layers of area V1 with single-cell resolution, while simultaneously presenting a large set of natural visual stimuli, to provide the first direct measure of the population sparseness in awake primates. The results show that only 0.5% of neurons respond strongly to any given natural image — indicating a ten-fold increase in the inferred sparseness over previous measurements. These population activities are nevertheless necessary and sufficient to discriminate visual stimuli with high accuracy, suggesting that the neural code in the primary visual cortex is both super-sparse and highly efficient.https://elifesciences.org/articles/33370visual cortextwo-photon imagingmacaqueGCaMP5Sparse coding |
| spellingShingle | Shiming Tang Yimeng Zhang Zhihao Li Ming Li Fang Liu Hongfei Jiang Tai Sing Lee Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeys eLife visual cortex two-photon imaging macaque GCaMP5 Sparse coding |
| title | Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeys |
| title_full | Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeys |
| title_fullStr | Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeys |
| title_full_unstemmed | Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeys |
| title_short | Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeys |
| title_sort | large scale two photon imaging revealed super sparse population codes in the v1 superficial layer of awake monkeys |
| topic | visual cortex two-photon imaging macaque GCaMP5 Sparse coding |
| url | https://elifesciences.org/articles/33370 |
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