Santa Cruz Institute for Particle Physics, University of California, Santa Cruz, California, United States of America.
Mindscope program, Allen Institute, Seattle, Washington, United States of America.
PLoS Comput Biol. 2021 Nov 1;17(11):e1009181. doi: 10.1371/journal.pcbi.1009181. eCollection 2021 Nov.
Sensory information from different modalities is processed in parallel, and then integrated in associative brain areas to improve object identification and the interpretation of sensory experiences. The Superior Colliculus (SC) is a midbrain structure that plays a critical role in integrating visual, auditory, and somatosensory input to assess saliency and promote action. Although the response properties of the individual SC neurons to visuoauditory stimuli have been characterized, little is known about the spatial and temporal dynamics of the integration at the population level. Here we recorded the response properties of SC neurons to spatially restricted visual and auditory stimuli using large-scale electrophysiology. We then created a general, population-level model that explains the spatial, temporal, and intensity requirements of stimuli needed for sensory integration. We found that the mouse SC contains topographically organized visual and auditory neurons that exhibit nonlinear multisensory integration. We show that nonlinear integration depends on properties of auditory but not visual stimuli. We also find that a heuristically derived nonlinear modulation function reveals conditions required for sensory integration that are consistent with previously proposed models of sensory integration such as spatial matching and the principle of inverse effectiveness.
来自不同感觉模式的感觉信息在大脑中被平行处理,然后在联合区域中被整合,以提高对物体的识别和对感觉经验的解释。上丘(Superior Colliculus,SC)是中脑的一个结构,它在整合视觉、听觉和躯体感觉输入以评估显著性和促进动作方面起着关键作用。尽管已经对单个 SC 神经元对视听刺激的反应特性进行了描述,但对群体水平上的整合的时空动态知之甚少。在这里,我们使用大规模电生理学记录了 SC 神经元对空间受限的视觉和听觉刺激的反应特性。然后,我们创建了一个通用的群体水平模型,该模型解释了用于感觉整合的刺激的空间、时间和强度要求。我们发现,鼠标 SC 包含组织上有差异的视觉和听觉神经元,它们表现出非线性的多感觉整合。我们表明,非线性整合取决于听觉而不是视觉刺激的特性。我们还发现,启发式的非线性调制函数揭示了感觉整合所需的条件,这些条件与之前提出的感觉整合模型(如空间匹配和逆效性原则)一致。