Computing Arm Movements with a Monkey Brainet.

Computing Arm Movements with a Monkey Brainet.
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DOI:
10.1038/srep10767
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发表时间:
2015-07-09
期刊:
影响因子:
4.6
通讯作者:
Nicolelis MAL
Nicolelis MAL
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Ramakrishnan A;Ifft PJ;Pais-Vieira M;Byun YW;Zhuang KZ;Lebedev MA;Nicolelis MAL

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传统上,脑机接口(BMI)从单个大脑中提取运动命令来控制人工设备的运动。在这里,我们介绍了一个Brainet,它利用两个(B2)或三个(B3)非人类灵长类动物的超大规模脑活动(VLSBA)来进行共同的运动行为。B2生成化身手臂的2D运动,其中每只猴子对X和Y坐标的贡献相等;或者一只猴子完全控制X坐标,另一只控制Y坐标。B3在3D空间中产生手臂运动,而每只猴子在2D子空间(X-Y,Y-Z或X-Z)中产生运动。通过长期训练,我们观察到行为的协调性增加,不同大脑之间神经元活动的相关性增加,以及运动计划的神经元表征的修改。总体而言,由于集体猴子行为,Brainet的表现有所改善。这些结果表明,灵长类动物的大脑可以整合成一个Brainet,它可以自我适应以实现共同的运动目标。
Traditionally, brain-machine interfaces (BMIs) extract motor commands from a single brain to control the movements of artificial devices. Here, we introduce a Brainet that utilizes very-large-scale brain activity (VLSBA) from two (B2) or three (B3) nonhuman primates to engage in a common motor behaviour. A B2 generated 2D movements of an avatar arm where each monkey contributed equally to X and Y coordinates; or one monkey fully controlled the X-coordinate and the other controlled the Y-coordinate. A B3 produced arm movements in 3D space, while each monkey generated movements in 2D subspaces (X-Y, Y-Z, or X-Z). With long-term training we observed increased coordination of behavior, increased correlations in neuronal activity between different brains, and modifications to neuronal representation of the motor plan. Overall, performance of the Brainet improved owing to collective monkey behaviour. These results suggest that primate brains can be integrated into a Brainet, which self-adapts to achieve a common motor goal.
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