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Representations of conspecific song by starling secondary forebrain auditory neurons: toward a hierarchical framework.

机译:八哥次要前脑听神经元代表同种歌曲的表达:朝着分级框架的方向发展。

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The functional organization giving rise to stimulus selectivity in higher-order auditory neurons remains under active study. We explored the selectivity for motifs, spectrotemporally distinct perceptual units in starling song, recording the responses of 96 caudomedial mesopallium (CMM) neurons in European starlings (Sturnus vulgaris) under awake-restrained and urethane-anesthetized conditions. A subset of neurons was highly selective between motifs. Selectivity was correlated with low spontaneous firing rates and high spike timing precision, and all but one of the selective neurons had similar spike waveforms. Neurons were further tested with stimuli in which the notes comprising the motifs were manipulated. Responses to most of the isolated notes were similar in amplitude, duration, and temporal pattern to the responses elicited by those notes in the context of the motif. For these neurons, we could accurately predict the responses to motifs from the sum of the responses to notes. Some notes were suppressed by the motif context, such that removing other notes from motifs unmasked additional excitation. Models of linear summation of note responses consistently outperformed spectrotemporal receptive field models in predicting responses to song stimuli. Tests with randomized sequences of notes confirmed the predictive power of these models. Whole notes gave better predictions than did note fragments. Thus in CMM, auditory objects (motifs) can be represented by a linear combination of excitation and suppression elicited by the note components of the object. We hypothesize that the receptive fields arise from selective convergence by inputs responding to specific spectrotemporal features of starling notes.
机译:引起高阶听觉神经元刺激选择性的功能组织仍在积极研究中。我们探索了对八哥歌曲中的图案,光谱时域上不同的感知单元的选择性,记录了欧洲八哥(Sturnus vulgaris)在受清醒和氨基甲酸乙酯麻醉的条件下96个中间内侧中palpal(CMM)神经元的反应。神经元的子集在基序之间具有高度选择性。选择性与低自发放电率和高尖峰定时精度相关,除一个选择性神经元外,所有神经元都有相似的尖峰波形。用刺激对神经元进行进一步测试,其中对包含基序的音符进行了操作。对大多数孤立音符的响应在幅度,持续时间和时间模式上与那些音符在主题背景下引起的响应相似。对于这些神经元,我们可以根据对音符的响应之和准确地预测对主题的响应。一些音符被主题上下文抑制,因此从主题中删除其他音符不会掩盖额外的刺激。在预测对歌曲刺激的响应时,音符响应的线性求和模型始终优于光谱时域接受模型。带有随机注释序列的测试证实了这些模型的预测能力。整个音符比音符片段能提供更好的预测。因此,在CMM中,听觉对象(基元)可以由对象的音符成分引起的激励和抑制的线性组合表示。我们假设接受场是由选择性收敛产生的,这些输入是由响应于八哥音符的特定光谱时间特征的输入而产生的。

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