Showing 1 - 20 results of 11,435 for search '(( significant vector based ) OR ( significant ((spatial decrease) OR (substantial decrease)) ))', query time: 1.95s Refine Results
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    Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

    Published 2024
    “…(C) In vCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.138 ± 0.065, APP/PS1 = 0.112 ± 0.035, p < 10<sup>−6</sup>, two-sided Wilcoxon rank-sum test, n<sub>C57BL/6</sub> = 689 units from 6 recording sessions, n<sub>APP/PS1</sub> = 651 units from 8 recording sessions). …”
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    Consistency of inter-regional patterns of significant-voxel fraction for fastText vectors across vector dimensionality and across movie sets. by Satoshi Nishida (690175)

    Published 2021
    “…<p>As in the case of the mean prediction accuracy (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009138#pcbi.1009138.s031" target="_blank">S4 Table</a>), the inter-regional patterns of significant-voxel fraction of fastText vector-based models (Figs <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009138#pcbi.1009138.g005" target="_blank">5</a> and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009138#pcbi.1009138.s011" target="_blank">S11</a>) were compared between arbitrary pairs of vector dimensionality and movie sets. …”
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    Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors. by Satoshi Nishida (690175)

    Published 2021
    “…<p>The mean fraction of significant voxels in each brain region for fastText vector-based models was mapped onto the cortical surface (<b>A</b>, vector dimension = 100; <b>B</b>, 300; <b>C</b>, 500; <b>D</b>, 2000). …”
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    ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

    Published 2025
    “…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”