Norman-Haignere Sam V, Keshishian Menoua K, Devinsky Orrin, Doyle Werner, McKhann Guy M, Schevon Catherine A, Flinker Adeen, Mesgarani Nima
University of Rochester Medical Center, Department of Biostatistics and Computational Biology.
University of Rochester Medical Center, Department of Neuroscience.
bioRxiv. 2024 Sep 24:2024.09.23.614358. doi: 10.1101/2024.09.23.614358.
Sound structures such as phonemes and words have highly variable durations. Thus, there is a fundamental difference between integrating across absolute time (e.g., 100 ms) vs. sound structure (e.g., phonemes). Auditory and cognitive models have traditionally cast neural integration in terms of time and structure, respectively, but the extent to which cortical computations reflect time or structure remains unknown. To answer this question, we rescaled the duration of all speech structures using time stretching/compression and measured integration windows in the human auditory cortex using a new experimental/computational method applied to spatiotemporally precise intracranial recordings. We observed significantly longer integration windows for stretched speech, but this lengthening was very small (~5%) relative to the change in structure durations, even in non-primary regions strongly implicated in speech-specific processing. These findings demonstrate that time-yoked computations dominate throughout the human auditory cortex, placing important constraints on neurocomputational models of structure processing.
诸如音素和单词这样的语音结构具有高度可变的时长。因此,在跨绝对时间(例如100毫秒)与跨语音结构(例如音素)进行整合之间存在根本差异。传统上,听觉模型和认知模型分别从时间和结构的角度来描述神经整合,但皮层计算在多大程度上反映时间或结构仍然未知。为了回答这个问题,我们使用时间拉伸/压缩对所有语音结构的时长进行重新缩放,并使用一种新的实验/计算方法来测量人类听觉皮层中的整合窗口,该方法应用于时空精确的颅内记录。我们观察到拉伸语音的整合窗口明显更长,但即使在与语音特异性处理密切相关的非初级区域,这种延长相对于结构时长的变化也非常小(约5%)。这些发现表明,时间关联计算在整个人类听觉皮层中占主导地位,这对结构处理的神经计算模型施加了重要限制。