Showing 1 - 20 results of 7,104 for search '(( three ((top decrease) OR (mean decrease)) ) OR ( a ((large decrease) OR (marked decrease)) ))', query time: 0.92s Refine Results
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    ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

    Published 2025
    “…<b>(B)</b> Grand-averaged target-locked neural timescales (mean ± SEM; shaded gray area represents cue-target interval) for three ROIs. …”
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    Repetitive stress induces a decrease in sound-evoked activity. by Ghattas Bisharat (20706928)

    Published 2025
    “…(d) Noise-evoked activity rates at different noise intensities for chronically tracked PV cells in baseline and repeated stress conditions (<i>N</i> = 5 mice, <i>n</i> = 31 neurons, mean ± SE). Activity rates decreased during repeated stress compared to baseline (2-way ANOVA, condition F = 49.6, <i>p</i> = 2.6 × 10<sup>−12</sup>, condition: intensity interaction F = 1.94, <i>p</i> = 0.02, nested ANOVA (mouse nested within session), F = 56.5, <i>p</i> = 8.8 × 10<sup>−14</sup>, condition: intensity interaction F = 3.5, <i>p</i> = 3.5 × 10<sup>−05</sup>). …”
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    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

    Published 2025
    “…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”
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    Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

    Published 2024
    “…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”