يعرض 1 - 20 نتائج من 45,401 نتيجة بحث عن '(((( ((c largest) OR (_ large)) decrease ) OR ( _ rate decreased ))) OR ( c larger decrease ))', وقت الاستعلام: 0.94s تنقيح النتائج
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    Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. حسب Udaysankar Chockanathan (18510288)

    منشور في 2024
    "…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 305 units from 5 recording sessions, n<sub>shuffled</sub> = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 180 units from 4 recording sessions, n<sub>shuffled</sub> = 18000 simulated units from 4 recording sessions). …"
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    Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1. حسب Udaysankar Chockanathan (18510288)

    منشور في 2024
    "…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.134 ± 0.050, shuffled = 0.123 ± 0.035, p < 0.005, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 229 units from 5 recording sessions, n<sub>shuffled</sub> = 22900 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.132 ± 0.054, shuffled = 0.124 ± .054, p = 0.13, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 124 units from 4 recording sessions, n<sub>shuffled</sub> = 12400 simulated units from 4 recording sessions). …"
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    Performance of the response detection algorithm at detecting simulated increases versus decreases in firing rate. حسب Bettina C. Schwab (9515382)

    منشور في 2020
    "…<p>Curves reflect the mean (±SD) fraction of increases and decreases detected as a function of the simulated response size (expressed as percent of baseline firing rate). …"
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    In superadditive networks, more enhancers decrease noise and fidelity. حسب Alvaro Fletcher (15675430)

    منشور في 2023
    "…<p>(A) Superadditivity is implemented in our model by linearly increasing <i>k</i><sub>on</sub> rates and linearly decreasing <i>k</i><sub>off</sub> rates. …"
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