首页> 美国卫生研究院文献>NPJ Science of Learning >Mechanisms of offline motor learning at a microscale of seconds in large-scale crowdsourced data
【2h】

Mechanisms of offline motor learning at a microscale of seconds in large-scale crowdsourced data

机译:在大规模众群数据中微额落的离线电机学习机制

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Replication in a crowdsourced sample of 389 participants. a–d in-lab experiment (N = 27, 17 female, mean ± s.e.m. age 26.3 ± 0.83), e–h crowdsourced experiment (224 female, 39.6 ± 0.56) a, e Task: participants learned a motor skill task2,22,23 over 36 trials (inset shows a single trial) consisting of alternating practice and rest periods of 10 s duration for a total of 12 min. b, f Skill was measured as the average inter-tap interval within correct sequences (tapping speed measured in keypresses/s)2,24 and is shown over the first 11 trials for the in-lab (b) and crowdsourced (f) group (see Supplementary Fig. 1a, c for all 36 trials). Micro-online changes were calculated as the difference in tapping speed (keypresses/s) of the first and last correct sequence within a practice period (blue in inset) and micro-offline changes as the difference between the last correct sequence within a practice period compared with the first of the next practice period (red in inset)2. The average number of correct sequences per trial is shown as green dots. c, g Trial-wise early learning (trials 1–5) composed of micro-offline (red), micro-online (blue), and total (black) performance changes (mean + s.e.m.). Note the presence of large micro-offline gains and total early learning in the initial trials in the absence of micro-online performance decrements. d, h Data points in the violin plot depict the sum of changes in performance over early learning trials in each participant, the red line denotes the mean (***P < 0.001).
机译:在389名参与者的众包样本中复制。实验室实验(n = 27,17,雌性,平均±26.3±0.83),E-H众包实验(224雌性,39.6±0.56)A,E任务:参与者学会了一个摩托技能任务2,22 ,23次超过36项试验(INSET显示单一试验),包括交替的实践和10次持续时间的休息时间总共12分钟。 B,F技能被测量为正确的序列内的平均间隔间隔(按键/ s中测量的攻丝速度)2,24,并在实验室内(b)和众包(f)组的前11个试验中显示(见补充图1A,C对于所有36项试验)。计算微型在线更改作为练习期内第一个和最后一个正确序列的攻丝速度(按键/ s)的差异,并且微离线变化为练习期内最后一个正确序列之间的差异与下一个练习期(ILLET中的红色)相比。每个试验的平均正确序列数显示为绿点。 C,G试验性早期学习(试验1-5)由微离线(红色),微型联机(蓝色)组成,以及总(黑色)性能变化(平均值+ S.E.M.)。注意在没有微型在线绩效的初始试验中存在大型微离线收益和全部早期学习。 D,小提琴绘图中的H数据点将性能变化的变化和在每个参与者中的早期学习试验中的变化之和,红线表示平均值(*** P <0.001)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号