Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
The KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.
J Neural Eng. 2021 Mar 30;18(4). doi: 10.1088/1741-2552/abeeac.
. Volitional modulation of single cortical neurons holds great potential for the implementation of brain-machine interfaces (BMIs) because it can induce a rapid acquisition of arbitrary associations between machines and neural activity. It can also be used as a framework to study the limits of single-neuron control in BMIs.. We tested the control of a one-dimensional actuator in two BMI tasks which differed only in the neural contingency that determined when a reward was dispensed. A thresholded activity task, commonly implemented in single-neuron BMI control, consisted of reaching or exceeding a neuron activity level, while the second task consisted of reaching and maintaining a narrow neuron activity level (i.e. windowed activity task).. Single neurons in layer V of the motor cortex of rats improved performance during both the thresholded activity and windowed activity BMI tasks. However, correct performance during the windowed activity task was accompanied by activation of neighboring neurons, not in direct control of the BMI. In contrast, only neurons in direct control of the BMI were active at the time of reward during the thresholded activity task.. These results suggest that thresholded activity single-neuron BMI implementations are more appropriate compared to windowed activity BMI tasks to capitalize on the adaptability of cortical circuits to acquire novel arbitrary skills.
. 自愿调节单个皮层神经元对于实现脑机接口 (BMI) 具有巨大潜力,因为它可以快速建立机器和神经活动之间的任意关联。它也可以用作研究 BMI 中单神经元控制的局限性的框架。. 在两个 BMI 任务中测试了对一维执行器的控制,这两个任务仅在决定何时分配奖励的神经关联上有所不同。一个阈值活动任务,通常在单神经元 BMI 控制中实现,包括达到或超过神经元活动水平,而第二个任务包括达到并保持狭窄的神经元活动水平(即窗口活动任务)。. 大鼠运动皮层 V 层中的单个神经元在阈值活动和窗口活动 BMI 任务中都提高了性能。然而,在窗口活动任务中正确的表现伴随着邻近神经元的激活,而不是直接控制 BMI。相比之下,在阈值活动任务中,只有直接控制 BMI 的神经元在奖励时才活跃。. 这些结果表明,与窗口活动 BMI 任务相比,阈值活动单神经元 BMI 实现更适合利用皮质电路的适应性来获得新的任意技能。