Ter-Mikaelian Maria, Sanes Dan H, Semple Malcolm N
Center for Neural Science, New York University, New York, New York 10003, USA.
J Neurosci. 2007 Jun 6;27(23):6091-102. doi: 10.1523/JNEUROSCI.4848-06.2007.
The neural representation of meaningful stimulus features is thought to rely on precise discharge characteristics of the auditory cortex. Precisely timed onset spikes putatively carry the majority of stimulus-related information in auditory cortical neurons but make a small contribution to stimulus representation in the auditory midbrain. Because these conclusions derive primarily from anesthetized preparations, we reexamined temporal coding properties of single neurons in the awake gerbil inferior colliculus (IC) and compared them with primary auditory cortex (AI). Surprisingly, AI neurons displayed a reduction of temporal precision compared with those in the IC. Furthermore, this hierarchical transition from high to low temporal fidelity was observed for both static and dynamic stimuli. Because most of the data that support temporal precision were obtained under anesthesia, we also reexamined response properties of IC and AI neurons under these conditions. Our results show that anesthesia has profound effects on the trial-to-trial variability and reliability of discharge and significantly improves the temporal precision of AI neurons to both tones and amplitude-modulated stimuli. In contrast, IC temporal properties are only mildly affected by anesthesia. These results underscore the pitfalls of using anesthetized preparations to study temporal coding. Our findings in awake animals reveal that AI neurons combine faster adaptation kinetics and a longer temporal window than evident in IC to represent ongoing acoustic stimuli.
有意义刺激特征的神经表征被认为依赖于听觉皮层精确的放电特性。精确计时的起始尖峰被认为携带了听觉皮层神经元中大部分与刺激相关的信息,但对听觉中脑的刺激表征贡献较小。由于这些结论主要来自麻醉状态下的实验准备,我们重新研究了清醒沙鼠下丘(IC)中单个神经元的时间编码特性,并将其与初级听觉皮层(AI)进行比较。令人惊讶的是,与IC中的神经元相比,AI神经元的时间精度有所降低。此外,对于静态和动态刺激,都观察到了这种从高到低时间保真度的层次转变。由于大多数支持时间精度的数据是在麻醉状态下获得的,我们还重新研究了IC和AI神经元在这些条件下的反应特性。我们的结果表明,麻醉对放电的逐次试验变异性和可靠性有深远影响,并显著提高了AI神经元对纯音和调幅刺激的时间精度。相比之下,IC的时间特性仅受到麻醉的轻微影响。这些结果强调了使用麻醉状态下的实验准备来研究时间编码的缺陷。我们在清醒动物中的研究结果表明,与IC相比,AI神经元结合了更快的适应动力学和更长的时间窗口来表征正在进行的声学刺激。