Neuroscience
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Response time (RT) distributions are histograms of the observed RTs for discriminative choices, comprising a rich source of empirical information to study perceptual processes. The drift-diffusion model (DDM), a mathematical formulation predicting decision tasks, reproduces the RT distributions, contributing to our understanding of these processes from a theoretical perspective. Notably, although the mouse is a popular model system for studying brain function and behavior, little is known about mouse perceptual RT distributions, and their description from an information-accumulation perspective. ⋯ The large number of empirical observations that we collected for this study allowed us to achieve accurate convergence for the model fit. Therefore, changes in the experimental conditions were mirrored by changes in model parameters, suggesting the participation of relevant brain areas in the decision-making process. This approach could help interpret future studies involving attention, discrimination, and learning in adult mice.
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In general, catechins contained in green tea are believed to have positive effects on the human body and mental health. The intake of epigallocatechin gallate (EGCG), a major polyphenol in green tea, is known to be effective for retinal protection; however, whether green tea and/or EGCG affect visual function remains unknown. In the present study, we investigated the effect of green tea and EGCG on visual motion processing by measuring optokinetic responses (OKRs) in young adult and aging mice. ⋯ We found that the OKRs of young and aging mice after green tea intake and after EGCG administration showed higher temporal sensitivity than those of control mice. The visual ability to detect moving objects was enhanced in young and aging mice upon intake of green tea or EGCG. From the above results, the visual motion processing for optokinetic responses by ingesting green tea was enhanced, which may be related to the effect of EGCG.