Center for Learning and Memory, The University of Texas, Austin, Texas 78712, USA.
J Neurophysiol. 2010 Aug;104(2):627-40. doi: 10.1152/jn.00169.2010. Epub 2010 May 19.
Trace eyelid conditioning is a form of associative learning that requires several forebrain structures and cerebellum. Previous work suggests that at least two conditioned stimulus (CS)-driven signals are available to the cerebellum via mossy fiber inputs during trace conditioning: one driven by and terminating with the tone and a second driven by medial prefrontal cortex (mPFC) that persists through the stimulus-free trace interval to overlap in time with the unconditioned stimulus (US). We used electric stimulation of mossy fibers to determine whether this pattern of dual inputs is necessary and sufficient for cerebellar learning to express normal trace eyelid responses. We find that presenting the cerebellum with one input that mimics persistent activity observed in mPFC and the lateral pontine nuclei during trace eyelid conditioning and another that mimics tone-elicited mossy fiber activity is sufficient to produce responses whose properties quantitatively match trace eyelid responses using a tone. Probe trials with each input delivered separately provide evidence that the cerebellum learns to respond to the mPFC-like input (that overlaps with the US) and learns to suppress responding to the tone-like input (that does not). This contributes to precisely timed responses and the well-documented influence of tone offset on the timing of trace responses. Computer simulations suggest that the underlying cerebellar mechanisms involve activation of different subsets of granule cells during the tone and during the stimulus-free trace interval. These results indicate that tone-driven and mPFC-like inputs are necessary and sufficient for the cerebellum to learn well-timed trace conditioned responses.
痕迹眼动条件反射是一种联想学习形式,需要大脑前皮质和小脑等几个结构。以前的研究表明,在痕迹条件反射过程中,小脑至少有两种与条件刺激(CS)驱动的信号通过苔藓纤维输入进入小脑:一种由声音驱动并终止于声音,另一种由内侧前额叶皮质(mPFC)驱动,该信号在刺激空白的痕迹间隔期间持续存在,与未条件刺激(US)重叠。我们使用苔藓纤维电刺激来确定这种双输入模式是否是小脑学习表达正常痕迹眼动反应所必需和充分的。我们发现,向小脑提供一种输入,该输入模拟了在痕迹眼动条件反射期间在 mPFC 和外侧桥脑核中观察到的持续活动,另一种输入模拟了声音诱发的苔藓纤维活动,足以产生与使用声音的痕迹眼动反应具有定量匹配的反应。使用每种输入分别进行的探测试验提供了证据,表明小脑学会了对 mPFC 样输入(与 US 重叠)做出反应,并学会了抑制对声音样输入(不重叠)的反应。这有助于产生精确计时的反应,以及众所周知的声音结束对痕迹反应计时的影响。计算机模拟表明,小脑的潜在机制涉及在声音期间和刺激空白的痕迹间隔期间激活不同的颗粒细胞子集。这些结果表明,声音驱动和 mPFC 样输入对于小脑学习定时准确的痕迹条件反应是必需和充分的。