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松鼠猴脑岛和听觉皮层中推特叫声基频的处理

Processing of twitter-call fundamental frequencies in insula and auditory cortex of squirrel monkeys.

作者信息

Bieser A

机构信息

German Primate Center, Göttingen.

出版信息

Exp Brain Res. 1998 Sep;122(2):139-48. doi: 10.1007/s002210050501.

Abstract

Amplitude-modulated (AM) and frequency-modulated (FM) elements are prominent periodic sound features of squirrel monkeys' twitter calls. To investigate how the periodic FM elements are represented in the spike activity of cortical neurons, single units in the insula, primary auditory field (AI) and rostral auditory field (R) were recorded. In five monkeys, 566 units (insula, n = 181; AI, n = 221; R, n = 164) were exposed to synthesized fundamental frequencies and one natural twitter call. Neuronal encoding of periodic FM elements takes place by phase-locking to either the up- or the down-directed FM sweeps. The phase-locking was strongly influenced by the FM-period repetition rate. The ability of neurons in both auditory fields and the insula to encode all periodic FM elements showed a marked reduction at 16 Hz FM-period repetition rate. The neurons' best frequency (BF) influenced the quality of periodicity encoding, but neurons with BFs outside the frequency range of the fundamentals also responded with periodic discharge rates. Even neurons in AI (6.8%) and the insula (22.6%) that did not respond to pure tones showed clear periodic FM encoding. The percentage of neurons able to encode all periodic FM elements within the twitter fundamental was significantly higher in field R than in AI and the insula. From 58 simultaneously recorded pairs of units in AI and the insula that had positive cross-correlation coefficients of spontaneous activity, the influence of the FM-period repetition rate on neuronal correlation was investigated. Correlated firing of AI and insula neurons seems limited to low-period repetition rates. The cross-correlation coefficients obtained for spontaneous activity and six different periodic FM sounds showed a band-pass characteristic. The natural twitter call evoked stronger neuronal responses in all fields than the synthesized fundamental frequencies with corresponding bi-directional FM sweeps. The better encoding of the transient features in the natural call can be attributed to the amplitude modulation added to the FM elements in the natural call. These amplitude modulations divide the FM elements of twitter calls into syllable-like sound elements. It is probable that encoding the complex pattern in the time and frequency domains of a call must undergo some integration at a cortical level. Additionally, these data provide the first evidence that insula neurons contribute to the encoding of complex FM signals.

摘要

调幅(AM)和调频(FM)元素是松鼠猴啁啾叫声中突出的周期性声音特征。为了研究周期性调频元素在皮层神经元的放电活动中是如何被表征的,研究人员记录了脑岛、初级听觉区(AI)和嘴侧听觉区(R)中的单个神经元。在五只猴子中,让566个神经元(脑岛,n = 181;AI,n = 221;R,n = 164)接触合成基频和一个自然啁啾叫声。周期性调频元素的神经元编码通过与向上或向下的调频扫描进行锁相来实现。锁相受到调频周期重复率的强烈影响。在16Hz的调频周期重复率下,听觉区和脑岛中神经元编码所有周期性调频元素的能力显著下降。神经元的最佳频率(BF)影响周期性编码的质量,但最佳频率在基频范围之外的神经元也会以周期性放电率做出反应。即使是对纯音没有反应的AI区(6.8%)和脑岛(22.6%)中的神经元,也表现出清晰的周期性调频编码。在R区,能够编码啁啾叫声基频内所有周期性调频元素的神经元百分比显著高于AI区和脑岛。从同时记录的58对AI区和脑岛中具有自发活动正交叉相关系数的神经元对中,研究了调频周期重复率对神经元相关性的影响。AI区和脑岛神经元的相关放电似乎仅限于低周期重复率。自发活动和六种不同周期性调频声音的交叉相关系数呈现带通特性。与具有相应双向调频扫描的合成基频相比,自然啁啾叫声在所有区域诱发的神经元反应更强。自然叫声中瞬态特征的更好编码可归因于自然叫声中添加到调频元素上的调幅。这些调幅将啁啾叫声的调频元素分成类似音节的声音元素。很可能在皮层水平上,对叫声的时域和频域中的复杂模式进行编码必须经过某种整合。此外,这些数据首次证明脑岛神经元有助于复杂调频信号的编码。

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