Dynamic circuit motifs underlying multimodal interactions in primate auditory cortex

摘要 在神经科学界，有一种强烈的趋势，那就是在 自然主义的条件，在丰富的多感官范式中，在自然观察到的行为的背景下 环境，如免费观看。这需要转变我们传统的数据收集和分析 管道及其基本理论框架。与其专注于一个特定的系统来支持 特定的大脑功能，我们必须进行多点记录，目标是多个，相互联系 赛道，这是我们项目的主要动机。幸运的是，这在技术上对两人都是可行的。 以及非人灵长类动物。 我们项目的总体目标是定义信息传输(“驱动”)与“调制” 听觉系统的回路。这个目标的基本原理是，如果大脑中只存在驱动电路，我们 没有能力专注于环境中与行为相关的方面。从这个角度来看， 调制回路作为信息传递回路，在脑活动中起着重要的作用。 具体地说，我们的项目将探索大脑功能的四个领域与独特的 作为它们的基础的动态电路主题(电路及其光谱颞叶神经元活动模式)。这些 大脑功能是听觉感知，听觉系统内的多感觉交互，运动采样 环境(眼球运动)和记忆回忆。 我们将在非人类和人类的行为实验中利用电生理记录 灵长类动物，通过计算建模来弥合不同记录尺度之间的差距(从单个单位到 脑电)，以及物种(非人灵长类与人类)。计算模型也将被用来建议 神经调节的特定目标节点和不同回路的模式。使用光谱时态 神经元活动(动态电路基元的关键特征)和基于颅内电信号的模型预测 脑刺激，我们将验证每个已识别的电路在产生其独特的电路主题和在 支持行为的不同方面。

ABSTRACT There is a strong movement within the neuroscience community towards studying the brain under naturalistic conditions, in rich multisensory paradigms and in the context of behaviors observed in natural environments, such as free viewing. This requires transforming our traditional data collection and analysis pipelines, and their underlying theoretical frameworks. Instead of focusing on one specific system supporting a particular brain function, we must conduct multisite recordings targeting multiple, reciprocally connected circuits, which is the main motivation for our project. Fortunately, this is now technically feasible in both human and nonhuman primates. The overarching goal of our project is to define information transmitting (“driving”) vs. “modulatory” circuits of the auditory system. The rationale for this goal is that if only driving circuits existed in the brain, we would not have the ability to focus on behaviorally relevant aspects of our environment. From this perspective, modulatory circuits play as an important role in brain operations as information transmitting ones. Specifically, our project will explore the interaction of four domains of brain function and the distinctive, dynamic circuit motifs (circuits and their spectrotemporal neuronal activity patterns) that underlie them. These brain functions are auditory perception, multisensory interactions within the auditory system, motor sampling of the environment (eye movements), and memory recall. We will utilize electrophysiological recordings during behavioral experiments in non-human and human primates, with computational modeling to bridge the gap between different recording scales (single unit to EEG), and species (non-human primate vs. human). Computational models will also be used to suggest specific target nodes and patterns of the distinct circuits for neuromodulation. Using the spectrotemporal neuronal activity (a key feature of a dynamic circuit motif) and model prediction based intracranial electrical brain stimulation, we will verify each identified circuit’s causal role in producing its unique circuit motifs and in supporting different aspects of behavior.