Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor control.
Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor control.
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DOI：
10.1016/j.conb.2015.12.005
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发表时间：
2016-04
影响因子：
5.7
通讯作者：
Yu BM
中科院分区：
文献类型：
--
作者：
Golub MD;Chase SM;Batista AP;Yu BM
感觉运动控制涉及预测、学习和多感觉整合等认知过程。理解这些认知过程的神经机制是具有挑战性的，因为我们目前只记录了一小部分相关神经元，手臂具有非线性动力学，并且多种感觉反馈方式有助于控制。脑机接口（BCI）是一个定义明确的感觉运动回路，具有关键的简化优势，可以解决这些挑战，同时参与类似的认知过程。因此，脑机接口被认为是感觉运动控制基础科学研究的有力工具。在这里，我们描述了脑机接口的基本科学调查和审查最近的脑机接口研究，发现了新的见解的神经机制的感觉运动控制的好处。
Sensorimotor control engages cognitive processes such as prediction, learning, and multisensory integration. Understanding the neural mechanisms underlying these cognitive processes with arm reaching is challenging because we currently record only a fraction of the relevant neurons, the arm has nonlinear dynamics, and multiple modalities of sensory feedback contribute to control. A brain–computer interface (BCI) is a well-defined sensorimotor loop with key simplifying advantages that address each of these challenges, while engaging similar cognitive processes. As a result, BCI is becoming recognized as a powerful tool for basic scientific studies of sensorimotor control. Here, we describe the benefits of BCI for basic scientific inquiries and review recent BCI studies that have uncovered new insights into the neural mechanisms underlying sensorimotor control.