Inverted central auditory hierarchies for encoding local intervals and global temporal patterns.

Inverted central auditory hierarchies for encoding local intervals and global temporal patterns.
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DOI:
10.1016/j.cub.2021.01.076
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发表时间:
2021-04-26
期刊:
Current biology : CB
影响因子:
--
通讯作者:
Polley DB
Polley DB
中科院分区:
其他
文献类型:
--
作者:
Asokan MM;Williamson RS;Hancock KE;Polley DB

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在感觉系统中,复杂性不断增加的表征特征出现在连续的加工阶段。在哺乳动物的听觉通路中,从脑干到皮层的最明显的变化是由失去的东西来定义的,而不是由获得的东西来定义的,因为高保真的时间编码越来越受到较慢的声学调制速率的限制。在这里,我们探讨的想法,缓慢的时间处理不仅仅是一个无法快速处理,而是反映了一个新兴的专业化编码的声音功能,在非常缓慢的时间尺度上展开。我们从清醒小鼠的听觉处理的三个层次阶段-下丘(IC),丘脑内侧膝状体(MGB)和初级听觉皮层(A1)进行了同步单单位合奏记录。正如预期的那样,分离连续噪声突发的短暂局部间隔(0.001 - 0.1s)的时间编码在IC中是稳健的,并且在MGB和A1中下降。相比之下,缓慢发展(~ 1 s周期)的全球节奏模式的突发间隔序列强烈调制A1尖峰,被MGB神经元弱捕获,而不是在所有的IC神经元。刺激规律性的变化并不代表A1穗率的变化,而是在尖峰如何安排的时间。这些研究结果表明,低级别的听觉神经元与快速的时间尺度编码孤立的声音功能,但不是较长的完形,而在较高的水平领域的扩展的时间尺度可以促进敏感性较慢的上下文变化的感觉环境。Asokan等人在听觉皮层水平上显示出对缓慢的时间节律的紧急敏感性。虽然小鼠中脑和丘脑中的单个单位以高保真度编码局部时间间隔,但皮质单位在延长的时间内整合,以通过调整尖峰时间来区分随机或规则的间隔序列。
In sensory systems, representational features of increasing complexity emerge at successive stages of processing. In the mammalian auditory pathway, the clearest change from brainstem to cortex is defined by what is lost, not by what is gained, in that high-fidelity temporal coding becomes increasingly restricted to slower acoustic modulation rates. Here, we explore the idea that sluggish temporal processing is more than just an inability for fast processing, but instead reflects an emergent specialization for encoding sound features that unfold on very slow time scales. We performed simultaneous single unit ensemble recordings from three hierarchical stages of auditory processing in awake mice – the inferior colliculus (IC), medial geniculate body of the thalamus (MGB) and primary auditory cortex (A1). As expected, temporal coding of brief local intervals (0.001 – 0.1s) separating consecutive noise bursts was robust in the IC and declined across MGB and A1. By contrast, slowly developing (~1s period) global rhythmic patterns of inter-burst interval sequences strongly modulated A1 spiking, were weakly captured by MGB neurons, and not at all by IC neurons. Shifts in stimulus regularity were not represented by changes in A1 spike rates, but rather in how the spikes were arranged in time. These findings show that low-level auditory neurons with fast timescales encode isolated sound features but not the longer gestalt, while the extended timescales in higher-level areas can facilitate sensitivity to slower contextual changes in the sensory environment. Asokan et al. show an emergent sensitivity for slow temporal rhythms at the level of the auditory cortex. Whereas single units in the mouse midbrain and thalamus encode local temporal intervals with high fidelity, cortical units integrate over extended periods to distinguish between random or regular interval sequences by adjusting spike timing.
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