Stable representation of a naturalistic movie emerges from episodic activity with gain variability
Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unsta...
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| Vydáno v: | Nature communications Ročník 12; číslo 1; s. 5170 - 15 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London
Nature Publishing Group UK
27.08.2021
Nature Publishing Group Nature Portfolio |
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| ISSN: | 2041-1723, 2041-1723 |
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| Abstract | Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unstable across weeks. Individual neuronal responses consist of sparse episodic activity which are stable in time but unstable in gain across weeks. Further, we find that the individual episode, instead of neuron, serves as the basic unit of the week-to-week fluctuation. To investigate how population activity encodes the stimulus, we extract a stable one-dimensional representation of the time in the natural movie, using an unsupervised method. Most week-to-week fluctuation is perpendicular to the stimulus encoding direction, thus leaving the stimulus representation largely unaffected. We propose that precise episodic activity with coordinated gain changes are keys to maintain a stable stimulus representation in V1.
Here the authors show that individual neural responses in mouse V1 to a repeated natural movie clip consist of episodic activity which is unstable in gain across weeks. Despite of the gain variability, time in the natural movie is stably represented by population activity in V1. |
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| AbstractList | Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unstable across weeks. Individual neuronal responses consist of sparse episodic activity which are stable in time but unstable in gain across weeks. Further, we find that the individual episode, instead of neuron, serves as the basic unit of the week-to-week fluctuation. To investigate how population activity encodes the stimulus, we extract a stable one-dimensional representation of the time in the natural movie, using an unsupervised method. Most week-to-week fluctuation is perpendicular to the stimulus encoding direction, thus leaving the stimulus representation largely unaffected. We propose that precise episodic activity with coordinated gain changes are keys to maintain a stable stimulus representation in V1.Here the authors show that individual neural responses in mouse V1 to a repeated natural movie clip consist of episodic activity which is unstable in gain across weeks. Despite of the gain variability, time in the natural movie is stably represented by population activity in V1. Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unstable across weeks. Individual neuronal responses consist of sparse episodic activity which are stable in time but unstable in gain across weeks. Further, we find that the individual episode, instead of neuron, serves as the basic unit of the week-to-week fluctuation. To investigate how population activity encodes the stimulus, we extract a stable one-dimensional representation of the time in the natural movie, using an unsupervised method. Most week-to-week fluctuation is perpendicular to the stimulus encoding direction, thus leaving the stimulus representation largely unaffected. We propose that precise episodic activity with coordinated gain changes are keys to maintain a stable stimulus representation in V1. Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unstable across weeks. Individual neuronal responses consist of sparse episodic activity which are stable in time but unstable in gain across weeks. Further, we find that the individual episode, instead of neuron, serves as the basic unit of the week-to-week fluctuation. To investigate how population activity encodes the stimulus, we extract a stable one-dimensional representation of the time in the natural movie, using an unsupervised method. Most week-to-week fluctuation is perpendicular to the stimulus encoding direction, thus leaving the stimulus representation largely unaffected. We propose that precise episodic activity with coordinated gain changes are keys to maintain a stable stimulus representation in V1. Here the authors show that individual neural responses in mouse V1 to a repeated natural movie clip consist of episodic activity which is unstable in gain across weeks. Despite of the gain variability, time in the natural movie is stably represented by population activity in V1. Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unstable across weeks. Individual neuronal responses consist of sparse episodic activity which are stable in time but unstable in gain across weeks. Further, we find that the individual episode, instead of neuron, serves as the basic unit of the week-to-week fluctuation. To investigate how population activity encodes the stimulus, we extract a stable one-dimensional representation of the time in the natural movie, using an unsupervised method. Most week-to-week fluctuation is perpendicular to the stimulus encoding direction, thus leaving the stimulus representation largely unaffected. We propose that precise episodic activity with coordinated gain changes are keys to maintain a stable stimulus representation in V1.Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unstable across weeks. Individual neuronal responses consist of sparse episodic activity which are stable in time but unstable in gain across weeks. Further, we find that the individual episode, instead of neuron, serves as the basic unit of the week-to-week fluctuation. To investigate how population activity encodes the stimulus, we extract a stable one-dimensional representation of the time in the natural movie, using an unsupervised method. Most week-to-week fluctuation is perpendicular to the stimulus encoding direction, thus leaving the stimulus representation largely unaffected. We propose that precise episodic activity with coordinated gain changes are keys to maintain a stable stimulus representation in V1. Here the authors show that individual neural responses in mouse V1 to a repeated natural movie clip consist of episodic activity which is unstable in gain across weeks. Despite of the gain variability, time in the natural movie is stably represented by population activity in V1. |
| ArticleNumber | 5170 |
| Author | Goard, Michael J. Marks, Tyler D. Wessel, Ralf Xia, Ji |
| Author_xml | – sequence: 1 givenname: Ji orcidid: 0000-0003-1349-9114 surname: Xia fullname: Xia, Ji email: xiaji@wustl.edu organization: Department of Physics, Washington University in St. Louis – sequence: 2 givenname: Tyler D. orcidid: 0000-0001-5414-4518 surname: Marks fullname: Marks, Tyler D. organization: Neuroscience Research Institute, University of California – sequence: 3 givenname: Michael J. orcidid: 0000-0002-5366-8501 surname: Goard fullname: Goard, Michael J. organization: Neuroscience Research Institute, University of California, Department of Molecular, Cellular, and Developmental Biology, University of California, Department of Psychological & Brain Sciences, University of California – sequence: 4 givenname: Ralf surname: Wessel fullname: Wessel, Ralf organization: Department of Physics, Washington University in St. Louis |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34453045$$D View this record in MEDLINE/PubMed |
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| Snippet | Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical... Here the authors show that individual neural responses in mouse V1 to a repeated natural movie clip consist of episodic activity which is unstable in gain... |
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| Title | Stable representation of a naturalistic movie emerges from episodic activity with gain variability |
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