Unité de Neuroscience, Information et Complexité (UNIC), UPR CNRS 3293, Centre National de la Recherche Scientifique, 91198 Gif-sur-Yvette, France.
J Neurosci. 2013 May 8;33(19):8308-20. doi: 10.1523/JNEUROSCI.2744-12.2013.
Operant control of a prosthesis by neuronal cortical activity is one of the successful strategies for implementing brain-machine interfaces (BMI), by which the subject learns to exert a volitional control of goal-directed movements. However, it remains unknown if the induced brain circuit reorganization affects preferentially the conditioned neurons whose activity controlled the BMI actuator during training. Here, multiple extracellular single-units were recorded simultaneously in the motor cortex of head-fixed behaving rats. The firing rate of a single neuron was used to control the position of a one-dimensional actuator. Each time the firing rate crossed a predefined threshold, a water bottle moved toward the rat, until the cumulative displacement of the bottle allowed the animal to drink. After a learning period, most (88%) conditioned neurons raised their activity during the trials, such that the time to reward decreased across sessions: the conditioned neuron fired strongly, reliably and swiftly after trial onset, although no explicit instruction in the learning rule imposed a fast neuronal response. Moreover, the conditioned neuron fired significantly earlier and more strongly than nonconditioned neighboring neurons. During the first training sessions, an increase in firing rate variability was seen only for the highly conditionable neurons. This variability then decreased while the conditioning effect increased. These findings suggest that modifications during training target preferentially the neuron chosen to control the BMI, which acts then as a "master" neuron, leading in time the reconfiguration of activity in the local cortical network.
通过神经元皮质活动对假肢进行操作性控制是实现脑机接口 (BMI) 的成功策略之一,通过该策略,受试者学会对目标导向运动进行自主控制。然而,目前尚不清楚诱导的大脑回路重组是否优先影响那些在训练过程中控制 BMI 执行器的条件化神经元。在这里,我们在头固定行为大鼠的运动皮层中同时记录了多个细胞外的单个神经元。单个神经元的放电率用于控制一维执行器的位置。每次放电率超过预定义的阈值时,水瓶就会向大鼠移动,直到水瓶的累积位移允许动物喝水。在学习阶段之后,大多数(88%)条件化神经元在试验中增加了它们的活动,从而使奖励时间在各个会话中减少:条件化神经元在试验开始后强烈、可靠且迅速地放电,尽管学习规则中没有明确的指令要求神经元快速反应。此外,条件化神经元的放电明显早于且强于非条件化的邻近神经元。在最初的训练阶段,仅对于高度可条件化的神经元才看到了放电率变异性的增加。当训练效果增加时,这种变异性随后降低。这些发现表明,在训练期间的修改主要针对被选择来控制 BMI 的神经元,该神经元随后充当“主”神经元,随着时间的推移导致局部皮质网络活动的重新配置。