Raymond J L, Lisberger S G
Howard Hughes Medical Institute, Department of Physiology and W. M. Keck Foundation Center for Integrative Neuroscience, University of California, San Francisco, California 94143, USA.
J Neurosci. 1998 Nov 1;18(21):9112-29. doi: 10.1523/JNEUROSCI.18-21-09112.1998.
Mechanisms for the induction of motor learning in the vestibulo-ocular reflex (VOR) were evaluated by recording the patterns of neural activity elicited in the cerebellum by a range of stimuli that induce learning. Patterns of climbing-fiber, vestibular, and Purkinje cell simple-spike signals were examined during sinusoidal head movement paired with visual image movement at stimulus frequencies from 0.5 to 10 Hz. A comparison of simple-spike and vestibular signals contained the information required to guide learning only at low stimulus frequencies, and a comparison of climbing-fiber and simple-spike signals contained the information required to guide learning only at high stimulus frequencies. Learning could be guided by comparison of climbing-fiber and vestibular signals at all stimulus frequencies tested, but only if climbing fiber responses were compared with the vestibular signals present 100 msec earlier. Computational analysis demonstrated that this conclusion is valid even if there is a broad range of vestibular signals at the site of plasticity. Simulations also indicated that the comparison of vestibular and climbing-fiber signals across the 100 msec delay must be implemented by a subcellular "eligibility" trace rather than by neural circuits that delay the vestibular inputs to the site of plasticity. The results suggest two alternative accounts of learning in the VOR. Either there are multiple mechanisms of learning that use different combinations of neural signals to drive plasticity, or there is a single mechanism tuned to climbing-fiber activity that follows activity in vestibular pathways by approximately 100 msec.
通过记录一系列诱导学习的刺激在小脑中引发的神经活动模式,评估了前庭眼反射(VOR)中运动学习的诱导机制。在0.5至10Hz的刺激频率下,当正弦头部运动与视觉图像运动配对时,检查了攀爬纤维、前庭和浦肯野细胞单峰信号的模式。单峰信号和前庭信号的比较仅在低刺激频率下包含指导学习所需的信息,而攀爬纤维和单峰信号的比较仅在高刺激频率下包含指导学习所需的信息。在所有测试的刺激频率下,攀爬纤维和前庭信号的比较都可以指导学习,但前提是将攀爬纤维反应与100毫秒前出现的前庭信号进行比较。计算分析表明,即使在可塑性部位存在广泛的前庭信号,这一结论仍然有效。模拟还表明,跨越100毫秒延迟的前庭和攀爬纤维信号的比较必须由亚细胞“合格性”痕迹来实现,而不是由将前庭输入延迟到可塑性部位的神经回路来实现。结果提示了VOR学习的两种不同解释。要么存在多种学习机制,它们使用不同的神经信号组合来驱动可塑性,要么存在一种单一机制,该机制调整为跟随前庭通路活动约100毫秒后的攀爬纤维活动。