首页> 美国卫生研究院文献>The Journal of Neuroscience >Temporal Encoding for Auditory Computation: Physiology of Primary Afferent Neurons in Sound-Producing Fish
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Temporal Encoding for Auditory Computation: Physiology of Primary Afferent Neurons in Sound-Producing Fish

机译:时间编码的听觉计算:产鱼的初级传入神经元的生理。

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摘要

Many fish rely on sounds for communication, yet the peripheral structures containing the hair cells are simple, without the morphological specializations that facilitate frequency analysis in the mammalian cochlea. Despite this, neurons in the midbrain of sound-producing fish (Pollimyrus) have complex receptive fields, extracting features from courtship sounds. Here we present an analysis of the initial encoding of sounds by the primary afferents and demonstrate that the representation of sound undergoes a substantial transformation as it ascends to the midbrain. Afferents were isolated as they coursed from the sacculus through the medulla. Tones (100 Hz-1.2 kHz) elicited synchronized spikes [vector strength (VS) >0.9] on each stimulus cycle [coefficient of variation (CV) <1.1], with little spike rate adaptation. Most afferents (67%) were spontaneously active and began synchronizing 10 dB below rate threshold. Rate thresholds for the most sensitive afferents (65 dB) were close to behavioral thresholds. The distribution of characteristic frequencies and best sensitivities was matched to the spectrum of sounds of this species and to its audiogram. Three clusters of afferents were identified, one including afferents that generated spike bursts and had v-shaped response areas (bursters), and two others that included entrained afferents with broad response areas (entrained types I and II). All afferents encoded the timing of clicks within click trains with time-locked spikes, and none showed selectivity for interclick intervals. Understanding the computations that yield complex receptive fields is an essential goal for auditory neuroscience, and these data on primary encoding advance this goal, allowing a comparison of inputs with feature-extracting midbrain neurons.
机译:许多鱼依靠声音进行交流,但包含毛细胞的外围结构却很简单,没有形态学专长,无法促进哺乳动物耳蜗的频率分析。尽管如此,发声鱼(Pollimyrus)中脑中的神经元具有复杂的接受区域,从求爱声音中提取特征。在这里,我们介绍了主要传入人对声音的初始编码的分析,并证明了声音的表示随着它上升到中脑而经历了实质性的转变。从球囊穿过延髓的传入球被隔离。音调(100 Hz-1.2 kHz)在每个刺激周期[矢量系数(CV)<1.1]上引起同步尖峰[矢量强度(VS)> 0.9],而尖峰速率的适应性很小。大多数传入者(67%)自发活跃,并开始在速率阈值以下同步10 dB。最敏感的传入速率阈值(65 dB)接近行为阈值。特征频率和最佳灵敏度的分布与该物种的声音频谱及其听力图相匹配。确定了三类传入的簇,其中一个簇包括产生尖峰爆发并具有V形响应区域(毛刺)的传入子,另外两个簇包括了带有宽反应域的被传入的传入子(Ⅰ和Ⅱ型)。所有传入者都使用锁定的尖峰对点击序列中的点击时间进行编码,没有一个显示出对点击间隔的选择性。理解产生复杂的感受野的计算是听觉神经科学的基本目标,而这些有关初级编码的数据就可以实现这一目标,从而可以将输入与特征提取中脑神经元进行比较。

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