Fukushima Makoto, Saunders Richard C, Fujii Naotaka, Averbeck Bruno B, Mishkin Mortimer
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:6794-7. doi: 10.1109/EMBC.2014.6945188.
Vocal production is an example of controlled motor behavior with high temporal precision. Previous studies have decoded auditory evoked cortical activity while monkeys listened to vocalization sounds. On the other hand, there have been few attempts at decoding motor cortical activity during vocal production. Here we recorded cortical activity during vocal production in the macaque with a chronically implanted electrocorticographic (ECoG) electrode array. The array detected robust activity in motor cortex during vocal production. We used a nonlinear dynamical model of the vocal organ to reduce the dimensionality of `Coo' calls produced by the monkey. We then used linear regression to evaluate the information in motor cortical activity for this reduced representation of calls. This simple linear model accounted for circa 65% of the variance in the reduced sound representations, supporting the feasibility of using the dynamical model of the vocal organ for decoding motor cortical activity during vocal production.
发声是具有高时间精度的受控运动行为的一个例子。先前的研究在猴子听发声声音时解码了听觉诱发的皮层活动。另一方面，在发声过程中解码运动皮层活动的尝试很少。在这里，我们使用长期植入的皮层脑电图（ECoG）电极阵列记录了猕猴发声过程中的皮层活动。该阵列在发声过程中检测到运动皮层中的强烈活动。我们使用了一个发声器官的非线性动力学模型来降低猴子发出的“咕咕”叫声的维度。然后我们使用线性回归来评估运动皮层活动中关于这种简化叫声表示的信息。这个简单的线性模型解释了简化声音表示中约65%的方差，支持了使用发声器官的动力学模型在发声过程中解码运动皮层活动的可行性。
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