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Showing 21 - 40 results of 2,662 for search '(( a ((largest decrease) OR (larger decrease)) ) OR ( learning ((task decrease) OR (a decrease)) ))', query time: 0.68s Refine Results
  1. 21
    Variables for the bromeliad agent representing a single <i>T. utriculata</i> rosette.

    Variables for the bromeliad agent representing a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

    Published 2025
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  2. 22
    Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training.

    Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  3. 23
    Time course of Path Length, LFS and Velocity during postural training.

    Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  4. 24
    Relation between training-related changes in unipedal and bipedal stance.

    Relation between training-related changes in unipedal and bipedal stance. by Cristina Dolciotti (16317330)

    Published 2025
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  5. 25
    Time course of 95% Area, X and Y Amplitude Sway during postural training.

    Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  6. 26
    Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS.

    Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS. by Cristina Dolciotti (16317330)

    Published 2025
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  7. 27
    Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity.

    Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity. by Cristina Dolciotti (16317330)

    Published 2025
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  8. 28
    A Locally Linear Dynamic Strategy for Manifold Learning.

    A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

    Published 2025
    “…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
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  9. 29
    Dual-task learning across training visits for simple and complex reaction times.

    Dual-task learning across training visits for simple and complex reaction times. by Swati M. Surkar (8399427)

    Published 2025
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  10. 30
    Examples of the different task-rule congruency conditions.

    Examples of the different task-rule congruency conditions. by Marcel F. Hinss (14675457)

    Published 2024
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  11. 31
    Evaluation of the effectiveness of pruning.

    Evaluation of the effectiveness of pruning. by Fan Yang (1413)

    Published 2025
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  12. 32
    The summary of ablation experiment.

    The summary of ablation experiment. by Fan Yang (1413)

    Published 2025
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  13. 33
    Schematic of SADBIFB.

    Schematic of SADBIFB. by Fan Yang (1413)

    Published 2025
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  14. 34
    Schematic of the residual attention block.

    Schematic of the residual attention block. by Fan Yang (1413)

    Published 2025
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  15. 35
    The structure of the proposed network.

    The structure of the proposed network. by Fan Yang (1413)

    Published 2025
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  16. 36
    Predicted results of the TCCT [4] network.

    Predicted results of the TCCT [4] network. by Fan Yang (1413)

    Published 2025
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  17. 37
    Visualized results of different boundary labels.

    Visualized results of different boundary labels. by Fan Yang (1413)

    Published 2025
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  18. 38
    Task procedure.

    Task procedure. by George Zacharopoulos (5660800)

    Published 2025
    “…<p>Calculation and drill problems were presented to the participants in different blocks on each learning day (see Materials and methods). <b>(A)</b> Calculation problems (denoted by “§”) began with the presentation of a problem, a brief mask, and an unlimited input duration. …”
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  19. 39
    Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) and with weevils present for <i>T</i><sub><i>p</i></sub> years (right); each color represents a single experiment (100 simulations of 1 parameter set).

    Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... by Alexandra M. Campbell (3284094)

    Published 2025
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  20. 40
    Larger example of stimuli with cue relevant for Task 3.

    Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

    Published 2024
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