Multiscale temporal integration organizes hierarchical computation in human auditory cortex

计算机科学 计算 感觉系统 皮质(解剖学) 听觉皮层 神经科学 心理学 算法
作者
Sam V. Norman-Haignere,Laura Long,Orrin Devinsky,Werner Doyle,Ifeoma Irobunda,Edward M. Merricks,Neil A. Feldstein,Guy M. McKhann,Catherine A. Schevon,Adeen Flinker,Nima Mesgarani
出处
期刊:Nature Human Behaviour [Springer Nature]
卷期号:6 (3): 455-469 被引量:62
标识
DOI:10.1038/s41562-021-01261-y
摘要

To derive meaning from sound, the brain must integrate information across many timescales. What computations underlie multiscale integration in human auditory cortex? Evidence suggests that auditory cortex analyses sound using both generic acoustic representations (for example, spectrotemporal modulation tuning) and category-specific computations, but the timescales over which these putatively distinct computations integrate remain unclear. To answer this question, we developed a general method to estimate sensory integration windows—the time window when stimuli alter the neural response—and applied our method to intracranial recordings from neurosurgical patients. We show that human auditory cortex integrates hierarchically across diverse timescales spanning from ~50 to 400 ms. Moreover, we find that neural populations with short and long integration windows exhibit distinct functional properties: short-integration electrodes (less than ~200 ms) show prominent spectrotemporal modulation selectivity, while long-integration electrodes (greater than ~200 ms) show prominent category selectivity. These findings reveal how multiscale integration organizes auditory computation in the human brain. Norman-Haignere et al. present a general method for estimating neural integration windows. Applied to human intracranial recordings, the method reveals how human auditory cortex integrates across the multiscale temporal structure of natural sounds.
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