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- W3199162188 endingPage "21.2021" @default.
- W3199162188 startingPage "ENEURO.0122" @default.
- W3199162188 abstract "Pupil dynamics alterations have been found in patients affected by a variety of neuropsychiatric conditions, including autism. Studies in mouse models have used pupillometry for phenotypic assessment and as a proxy for arousal. Both in mice and humans, pupillometry is noninvasive and allows for longitudinal experiments supporting temporal specificity; however, its measure requires dedicated setups. Here, we introduce a convolutional neural network that performs online pupillometry in both mice and humans in a web app format. This solution dramatically simplifies the usage of the tool for the nonspecialist and nontechnical operators. Because a modern web browser is the only software requirement, this choice is of great interest given its easy deployment and setup time reduction. The tested model performances indicate that the tool is sensitive enough to detect both locomotor-induced and stimulus-evoked pupillary changes, and its output is comparable to state-of-the-art commercial devices." @default.
- W3199162188 created "2021-09-27" @default.
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- W3199162188 date "2021-09-01" @default.
- W3199162188 modified "2023-09-30" @default.
- W3199162188 title "MEYE: Web App for Translational and Real-Time Pupillometry" @default.
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- W3199162188 doi "https://doi.org/10.1523/eneuro.0122-21.2021" @default.
- W3199162188 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8489024" @default.
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