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Redundant information encoding in primary motor cortex during natural and prosthetic motor control

机译:自然和假体运动控制期间主运动皮层中的冗余信息编码

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摘要

Redundant encoding of information facilitates reliable distributed information processing. To explore this hypothesis in the motor system, we applied concepts from information theory to quantify the redundancy of movement-related information encoded in the macaque primary motor cortex (Ml) during natural and neuroprosthetic control. Two macaque monkeys were trained to perform a delay center-out reaching task controlling a computer cursor under natural arm movement (manual control, 'MC'), and using a brain-machine interface (BMI) via volitional control of neural ensemble activity (brain control, 'BC'). During MC, we found neurons in contralateral Ml to contain higher and more redundant information about target direction than ipsilateral M1 neurons, consistent with the laterality of movement control. During BC, we found that the M1 neurons directly incorporated into the BMI ('direct' neurons) contained the highest and most redundant target information compared to neurons that were not incorporated into the BMI ('indirect' neurons). This effect was even more significant when comparing to M1 neurons of the opposite hemisphere. Interestingly, when we retrained the BMI to use ipsilateral Ml activity, we found that these neurons were more redundant and contained higher information than contralateral Ml neurons, even though ensembles from this hemisphere were previously less redundant during natural arm movement. These results indicate that ensembles most associated to movement contain highest redundancy and information encoding, which suggests a role for redundancy in proficient natural and prosthetic motor control.
机译:信息的冗余编码有助于可靠的分布式信息处理。为了探索运动系统中的这一假设,我们应用了信息理论的概念来量化在自然和神经修复控制过程中,在猕猴初级运动皮层(M1)中编码的运动相关信息的冗余度。训练了两只猕猴来执行延迟中心外伸任务,以在自然手臂运动下控制计算机光标(手动控制,“ MC”),并通过对神经系综活动的主动控制使用脑机界面(BMI)(大脑)控件,“ BC”)。在MC期间,我们发现对侧M1中的神经元比同侧M1神经元包含更多和更多的关于目标方向的冗余信息,这与运动控制的横向性一致。在不列颠哥伦比亚省,我们发现与没有合并到BMI(“间接”神经元)中的神经元相比,直接合并到BMI(“直接”神经元)中的M1神经元包含最高和最冗余的目标信息。与对侧半球的M1神经元相比,此效果甚至更显着。有趣的是,当我们重新训练BMI以使用同侧M1活动时,我们发现这些神经元比对侧M1神经元更具冗余性,并且包含更高的信息,即使先前来自该半球的合奏在自然手臂运动过程中的冗余度较小。这些结果表明,与运动最相关的合奏包含最高的冗余度和信息编码,这暗示了冗余度在熟练的自然运动和假肢运动控制中的作用。

著录项

  • 来源
    《Journal of Computational Neuroscience》 |2012年第3期|p.555-561|共7页
  • 作者单位

    Department of Electrical Engineering and Computer SciencUniversity of California,754 Sutardja Dai Hall,Berkeley, CA 94720-1770, USA;

    San Francisco VA Medical Center,San Francisco, CA, USA,Department of Neurology, University of California,San Francisco, CA, USA;

    Department of Electrical Engineering and Computer SciencUniversity of California,754 Sutardja Dai Hall,Berkeley, CA 94720-1770, USA;

    Department of Electrical Engineering and Computer SciencUniversity of California,754 Sutardja Dai Hall,Berkeley, CA 94720-1770, USA,School of Computer and Communication Sciences,Ecole Polytechnique Federate (EPFL),Lausanne, Switzerland;

    Department of Electrical Engineering and Computer SciencUniversity of California,754 Sutardja Dai Hall,Berkeley, CA 94720-1770, USA,Helen Wills Neuroscience Institute, University of California,Berkeley, CA, USA,UCB/UCSF Joint Graduate Group in Bioenginecring,University of California,Berkeley, CA, USA,Program in Cognitive Science, University of California,Berkeley, CA, USA;

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  • 正文语种 eng
  • 中图分类
  • 关键词

    mutual information; neural ensemble; motorcontrol; brain-machine interface; electrophysiology; primary motor cortex;

    机译:相互信息;神经集合电机控制;脑机接口;电生理学初级运动皮层;

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