...
首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Neural correlates of predictive and postdictive switching mechanisms for internal models.
【24h】

Neural correlates of predictive and postdictive switching mechanisms for internal models.

机译:内部模型的预测和预测转换机制的神经相关性。

获取原文
获取原文并翻译 | 示例
           

摘要

Switching of sensorimotor tasks may be classified into predictive switching based on contextual information and postdictive switching based on the error between sensorimotor feedback and predictions. We used functional neuroimaging to study the brain regions involved in each type of switching of internal models for visuomotor rotations (clockwise and counterclockwise rotations of visual feedback). The color of a cue presented before movement initiation corresponded to direction of rotation of the feedback in an instructed condition, but not in a noninstructed condition. Switching-related activity was identified as activity that transiently increased after the direction of rotation was changed. The switching-related activity in cue periods in the instructed condition, when a predictive switch is possible, was observed in the superior parietal lobule (SPL). However, the switching-related activity in feedback periods in the noninstructed condition, when prediction error is crucial for the postdictive switch, was observed in the inferior parietal lobule (IPL) and prefrontal cortex. The functional influence of the SPL on the lateral cerebellum, namely, a possible neural correlate for internal models, increased in the instructed condition, but the influence of the IPL on the cerebellum was increased in the noninstructed condition. We observed a rapid activity increase in the instructed condition and a gradual activity increase in the noninstructed condition mainly in the lateral occipito-temporal cortices (LOTC) and supplementary motor cortex (SMA). These results are consistent with separate mechanisms for predictive and postdictive switches and suggest that the LOTC and SMA receive output signals from appropriate internal models.
机译:感觉运动任务的切换可分为基于上下文信息的预测性切换和基于感觉运动反馈与预测之间的误差的预测性切换。我们使用功能性神经影像技术研究了内部模型的各种类型的开关运动(视觉反馈的顺时针和逆时针旋转)涉及的大脑区域。在运动开始之前呈现的提示的颜色对应于在指示状态下而非在非指示状态下反馈的旋转方向。开关相关的活动被确定为旋转方向改变后瞬时增加的活动。在指示性条件下,当提示性转换可能时,在提示的顶叶小叶(SPL)中观察到与转换有关的活动。但是,当预测误差对后继转换至关重要时,在非指示性条件下的反馈期内,与转换有关的活动在顶下小叶(IPL)和前额叶皮层中观察到。 SPL对外侧小脑的功能影响(即内部模型可能的神经相关性)在指示条件下增加,而IPL对小脑的影响在非指示条件下增加。我们观察到主要在外侧枕颞颞皮层(LOTC)和辅助运动皮层(SMA)的指示条件下活动迅速增加,而非指示条件下活动逐渐增加。这些结果与预测开关和预测开关的独立机制相一致,表明LOTC和SMA从适当的内部模型接收输出信号。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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