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Direct cortical control of 3d neuroprosthetic devices

机译:直接皮层控制3d神经修复装置

摘要

Control signals for an object are developed from the neuron-originating electrical impulses detected by arrays of electrodes chronically implanted in a subject's cerebral cortex at the pre-motor and motor locations known to have association with arm movements. Taking as an input the firing rate of the sensed neurons or neuron groupings that affect a particular electrode, a coadaptive algorithm is used. In a closed-loop environment, where the animal subject can view its results, weighting factors in the algorithm are modified over a series of tests to emphasize cortical electrical impulses that result in movement of the object as desired. At the same time, the animal subject learns and modifies its cortical electrical activity to achieve movement of the object as desired. In one specific embodiment, the object moved was a cursor portrayed as a sphere in a virtual reality display. Target objects were presented to the subject, who then proceeded to move the cursor to the target and receive a reward. In a noncoadaptive use of the algorithm as previously modified by a co-adaptation, unlearned targets were presented in the virtual reality system and the subject moved the cursor to these targets. In another embodiment, a robot arm was controlled by an animal subject.
机译:用于对象的控制信号是由神经元起源的电脉冲产生的,该电脉冲是由长期植入对象大脑皮层的,在运动前和运动位置与手臂运动相关的电极阵列检测到的。将影响特定电极的感测神经元或神经元组的激发速率作为输入,使用了自适应算法。在动物对象可以查看其结果的闭环环境中,通过一系列测试对算法中的加权因子进行了修改,以强调皮质电脉冲,该电脉冲会导致对象按预期运动。同时,动物受试者学习并改变其皮层电活动以实现所需对象的运动。在一特定实施例中,移动的对象是在虚拟现实显示器中描绘为球形的光标。将目标对象呈现给对象,然后对象继续将光标移动到目标并获得奖励。在非自适应使用的算法中,该算法先前已通过协作进行了修改,在虚拟现实系统中呈现了未学习的目标,并且对象将光标移至了这些目标。在另一个实施方案中,机械臂由动物受试者控制。

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