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Neuronal Activities in the Mouse Visual Cortex Predict Patterns of Sensory Stimuli

机译:小鼠视觉皮质中的神经元活动预测感官刺激的模式

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摘要

Visual cortex forms the basis of visual processing and plays important roles in visual encoding. By using the recently published Allen Brain Observatory dataset consisting of large-scale calcium imaging of mouse V1 activities under visual stimuli, we were able to obtain high-quality data capturing simultaneous neuronal activities at multiple sub-areas and cortical depths of V1. Using prediction models, we analyzed the activity profiles related to static and drifting grating stimuli. We conducted a comprehensive survey of the coding ability of multiple cortical locations toward different stimulus attributes. Specifically, we focused on orientations and spatial frequencies (for static stimuli), as well as moving directions and speed (for drifting stimuli). By using results produced from a prediction model, we quantified the decoding performance profile at different sub-areas and layers of V1. In addition, we analyzed the interactions and interference between different stimulus attributes. The insights obtained from these discoveries would contribute to more precise and quantitative understanding of V1 coding mechanisms.
机译:Visual Cortex构成了视觉处理的基础,在视觉编码中扮演重要角色。通过使用最近发表的艾伦脑观测到数据集,包括在视觉刺激下的小鼠V1活动的大规模钙成像,我们能够在多个子区域和皮质深度的V1中获得同时神经元活动的高质量数据。使用预测模型,我们分析了与静态和漂移光栅刺激相关的活动配置文件。我们对不同刺激属性的多种皮质地点的编码能力进行了全面调查。具体地,我们专注于取向和空间频率(用于静态刺激),以及移动方向和速度(用于漂移刺激)。通过使用从预测模型产生的结果,我们在不同子区域和V1层的层中量化了解码性能曲线。此外,我们分析了不同刺激属性之间的相互作用和干扰。从这些发现中获得的见解将有助于对V1编码机制的更精确和定量的理解。

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