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Size tuning of neural response variability in laminar circuits of macaque primary visual cortex

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DataONE2026-02-24 更新2026-02-28 收录
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This dataset describes the relationship between neural response variability and surround suppression. Typically, manipulations that elicit neural response suppression quench variability, an observation that has led some to suggest that these two phenomena may share a common origin. However, few studies have systematically examined the relationship between surround suppression and variability. Surround suppression is mediated by multiple circuits and mechanisms that depend on the size of the sensory stimulus and the cortical layer. Variability is also laminar-dependent. This dataset helps to understand how surround suppression affects neural response variability across layers of the visual cortex. The dataset contains electrophysiological laminar recordings that examine how neural response variability and the shared variability among neurons are modulated by visual stimulus size across the layers of macaque primary visual cortex (V1).  , , # Data from: Size tuning of neural response variability in laminar circuits of macaque primary visual cortex Dataset DOI: [10.5061/dryad.hqbzkh1x4](https://doi.org/10.5061/dryad.hqbzkh1x4) ## Description of the data and file structure **Data from: Size tuning of neural response variability in laminar circuits of macaque primary visual cortex** This is the data for the analyses published in the article \"Size tuning of neural response variability in laminar circuits of macaque primary visual cortex.\" doi: [10.1101/2023.01.17.524397](https://doi.org/10.1101/2023.01.17.524397) Methods for data collection are described in the above publication. The data in this repository was collected by performing linear array recordings of neural activity from the primary visual cortex of anesthetized macaque monkeys (macaca fascicularis). Great care was taken to ensure that the probe was inserted vertically into the cortex. At the beginning of each penetration, the receptive fields of the recorded ...,
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2026-02-24
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