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初级和次级听觉皮层中不同的非线性频谱时间整合。

Distinct nonlinear spectrotemporal integration in primary and secondary auditory cortices.

作者信息

Kline Amber M, Aponte Destinee A, Kato Hiroyuki K

机构信息

Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

出版信息

bioRxiv. 2023 Jan 26:2023.01.25.525588. doi: 10.1101/2023.01.25.525588.

Abstract

Animals sense sounds through hierarchical neural pathways that ultimately reach higher-order cortices to extract complex acoustic features, such as vocalizations. Elucidating how spectrotemporal integration varies along the hierarchy from primary to higher-order auditory cortices is a crucial step in understanding this elaborate sensory computation. Here we used two-photon calcium imaging and two-tone stimuli with various frequency-timing combinations to compare spectrotemporal integration between primary (A1) and secondary (A2) auditory cortices in mice. Individual neurons showed mixed supralinear and sublinear integration in a frequency-timing combination-specific manner, and we found unique integration patterns in these two areas. Temporally asymmetric spectrotemporal integration in A1 neurons enabled their discrimination of frequency-modulated sweep directions. In contrast, temporally symmetric and coincidence-preferring integration in A2 neurons made them ideal spectral integrators of concurrent multifrequency sounds. Moreover, the ensemble neural activity in A2 was sensitive to two-tone timings, and coincident two-tones evoked distinct ensemble activity patterns from the linear sum of component tones. Together, these results demonstrate distinct roles of A1 and A2 in encoding complex acoustic features, potentially suggesting parallel rather than sequential information extraction between these regions.

摘要

动物通过分级神经通路感知声音,这些通路最终到达高阶皮质以提取复杂的声学特征,如发声。阐明从初级听觉皮质到高阶听觉皮质的分级过程中频谱时间整合是如何变化的,是理解这种精细感觉计算的关键一步。在这里,我们使用双光子钙成像和具有各种频率 - 时间组合的双音刺激来比较小鼠初级(A1)和次级(A2)听觉皮质之间的频谱时间整合。单个神经元以频率 - 时间组合特异性方式表现出混合的超线性和亚线性整合,并且我们在这两个区域发现了独特的整合模式。A1神经元中时间不对称的频谱时间整合使其能够区分调频扫描方向。相比之下,A2神经元中时间对称且偏好重合的整合使其成为同时存在的多频声音的理想频谱整合器。此外,A2中的整体神经活动对双音时间敏感,并且重合双音诱发的整体活动模式与成分音的线性总和不同。总之,这些结果证明了A1和A2在编码复杂声学特征中的不同作用,这可能表明这些区域之间是并行而非顺序的信息提取。

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