Dynamic circuit motifs underlying multimodal interactions in primate auditory cortex

摘要 在神经科学界有一个强大的运动， 自然条件下，在丰富的多感官范式和在自然环境中观察到的行为的背景下， 环境，如自由观看。这就要求我们转变传统的数据收集和分析方式 管道及其基本理论框架。而不是专注于一个特定的系统， 特定的大脑功能，我们必须进行多点记录，针对多个， 电路，这是我们项目的主要动机。幸运的是，这在技术上是可行的， 和非人类灵长类动物。 我们项目的首要目标是定义信息传输（“驱动”）与“调节” 听觉系统的回路这一目标的基本原理是，如果大脑中只存在驱动电路， 没有能力关注我们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大脑运作中发挥着重要作用。 具体来说，我们的项目将探索大脑功能的四个领域和独特的， 动态电路图案（电路及其频谱时间神经元活动模式）是它们的基础。这些 大脑功能是听觉感知，听觉系统内的多感官交互， 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，用计算建模来弥合不同记录尺度之间的差距（单个单位到 EEG）和物种（非人灵长类动物与人类）。计算模型也将被用来建议 用于神经调节的不同回路的特定目标节点和模式。利用光谱时间 神经元活动（动态电路基序的关键特征）和基于颅内电 大脑刺激，我们将验证每个确定的电路的因果作用，在产生其独特的电路图案， 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.