Heetderks W J
Brain Res. 1978 Nov 3;156(1):51-65. doi: 10.1016/0006-8993(78)90078-1.
(1) A means of describing the response of neural populations based on principal component analysis is presented. The analysis produces response descriptions that indicate whether two states are distinguishable and suggest how to best distinguish between states. (2) Analysis of slowly adapting joint receptor data from the cat knee joint indicates that the joint receptors are capable of signalling limb position in the range from 150 degrees to 180 degrees of extension during an extension movement. They also provide information which indicates whether the tibia is twisted inward or outward in this range of angles. (3) The first principal component in the response to a constant velocity extension of 8 simultaneously active units described 86% of the total mean square discharge displayed by all 8 units. The first principal component is qualitatively similar to the responses observed in slowly adapting thalamic joint units.
(1) 提出了一种基于主成分分析来描述神经群体反应的方法。该分析产生的反应描述能表明两种状态是否可区分,并建议如何最好地在不同状态之间进行区分。(2) 对猫膝关节慢适应关节感受器数据的分析表明,在伸展运动过程中,关节感受器能够在150度至180度伸展范围内传递肢体位置信号。它们还提供信息,表明在这个角度范围内胫骨是向内还是向外扭转。(3) 对8个同时激活的单位进行恒速伸展反应时,第一个主成分描述了所有8个单位显示的总均方放电的86%。第一个主成分在性质上与在慢适应丘脑关节单位中观察到的反应相似。