Neuroscience Graduate Program, Oregon Health and Science University, Portland, United States.
Otolaryngology, Oregon Health & Science University, Portland, United States.
Elife. 2024 Aug 22;12:RP89936. doi: 10.7554/eLife.89936.
Categorical sensory representations are critical for many behaviors, including speech perception. In the auditory system, categorical information is thought to arise hierarchically, becoming increasingly prominent in higher-order cortical regions. The neural mechanisms that support this robust and flexible computation remain poorly understood. Here, we studied sound representations in the ferret primary and non-primary auditory cortex while animals engaged in a challenging sound discrimination task. Population-level decoding of simultaneously recorded single neurons revealed that task engagement caused categorical sound representations to emerge in non-primary auditory cortex. In primary auditory cortex, task engagement caused a general enhancement of sound decoding that was not specific to task-relevant categories. These findings are consistent with mixed selectivity models of neural disentanglement, in which early sensory regions build an overcomplete representation of the world and allow neurons in downstream brain regions to flexibly and selectively read out behaviorally relevant, categorical information.
类别化感觉表示对于许多行为至关重要,包括语音感知。在听觉系统中,类别信息被认为是分层出现的,在更高阶的皮质区域中变得越来越突出。支持这种强大而灵活的计算的神经机制仍知之甚少。在这里,当动物进行一项具有挑战性的声音辨别任务时,我们研究了雪貂初级和非初级听觉皮层中的声音表示。对同时记录的单个神经元的群体水平解码表明,任务参与导致非初级听觉皮层中出现类别化的声音表示。在初级听觉皮层中,任务参与导致了对声音解码的普遍增强,而与任务相关的类别无关。这些发现与神经去纠缠的混合选择性模型一致,其中早期感觉区域构建了世界的过度完整表示,并允许下游脑区的神经元灵活且选择性地读取与行为相关的类别化信息。