Spectral determination of responses to species-specific calls in the dorsal nucleus of the lateral lemniscus
Spectral determination of responses to species-specific calls in the dorsal nucleus of the lateral lemniscus
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DOI：
10.1152/jn.2002.88.4.1955
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发表时间：
2002-10-01
影响因子：
2.5
通讯作者：
Pollak, GD
中科院分区：
文献类型：
--
作者：
Bauer, EE;Klug, A;Pollak, GD
本研究评估了墨西哥无尾蝙蝠外侧丘系背核（DNLL）的神经元如何对短纯音和物种特异性呼叫做出反应。每个神经元最多可发出20种叫声，其中18种是社会交流叫声，2种是回声定位叫声。我们还测量了兴奋性反应区域（ERRs）：在固定强度下诱发放电的短纯音频率范围。神经元对一种或另一种呼叫是无选择性的，因为每个神经元对任何呼叫都有反应，只要呼叫具有侵犯其ERR的能量。此外，当它们被正常或反向呈现时，由相同的一组呼叫引起的反应具有相似的尖峰计数。通过将ERRs中的活动与每个呼叫的频谱图进行卷积，我们发现对音调的反应准确地预测了由物种特异性呼叫引起的放电模式。DNLL细胞是非常同质的，因为具有相似BF的神经元以相似的响应曲线响应每个物种特异性呼叫。通过准确预测特定DNLL细胞对来自另一个类似调谐的DNLL细胞的ERR的物种特异性呼叫的响应谱的能力进一步说明了同质性。因此，DNLL神经元调谐到相同或相似的频率响应物种特异性的电话与lavelet和时间放电模式是如此相似，几乎可以互换。这表明，由复杂声音引起的DNLL反应在很大程度上可以通过每个神经元ERR中的兴奋的简单总和来解释。最后，将每个呼叫的频谱图叠加在由该呼叫引起的响应上，揭示了DNLL群体响应重新创建了每个信号的频谱和时间特征。
This study evaluated how neurons in the dorsal nucleus of the lateral lemniscus (DNLL) in Mexican free-tailed bats respond to both tone bursts and species-specific calls. Up to 20 calls were presented to each neuron, of which 18 were social communication and 2 were echolocation calls. We also measured excitatory response regions (ERRs): the range of tone burst frequencies that evoked discharges at a fixed intensity. Neurons were unselective for one or another call in that each neuron responded to any call so long as the call had energy that encroached on its ERR. Additionally, responses were evoked by the same set of calls, and with similar spike counts, when they were presented normally or reversed. By convolving activity in the ERRs with the spectrogram of each call, we showed that responses to tones accurately predicted discharge patterns evoked by species-specific calls. DNLL cells are remarkably homogeneous in that neurons having similar BFs responded to each of the species-specific calls with similar response profiles. The homogeneity was further illustrated by the ability to accurately predict the response profiles of a particular DNLL cell to species-specific calls from the ERR of another similarly tuned DNLL cell. Thus DNLL neurons tuned to the same or similar frequencies responded to species-specific calls with latencies and temporal discharge patterns that were so similar as to be virtually interchangeable. What this suggests is that DNLL responses evoked by complex sounds can be largely explained by a simple summation of the excitation in each neuron's ERR. Finally, superimposing the spectrograms of each call on the responses evoked by that call revealed that the DNLL population response re-creates both the spectral and the temporal features of each signal.