CRCNS Detailed multi-neuron coding of decisions in parietal cortex

描述（由申请人提供）：智力优势：感知决策是一种基本的认知能力。它要求神经回路能够积累感官证据，将其与先前信息联合收割机结合起来，并在适当的时间选择适当的行动。大脑执行这些计算的能力的理论主要涉及基于动力系统的“机械”模型，或从心理学，统计学或经济学引入的最佳决策的“规范”模型。然而，现有的理论并没有解释--甚至没有试图解释--被认为执行这些计算的神经元的详细响应特性。评估这些理论所需的多神经元记录尚未收集。到目前为止，还没有一个通用的理论框架，将决策过程中涉及的各种感觉、运动、记忆和奖励变量与集体计算决策的多个神经元的时变尖峰反应联系起来。本提案旨在填补这一空白。拟议研究的目标是详细而全面地了解外侧顶内皮层（LIP区）神经元对决策相关信息的编码和解码，LIP区是一个与决策密切相关的大脑区域。将从参与决策任务的灵长类动物中获得多电极记录;这将为研究由尖峰神经元组同时表示决策提供第一个窗口。研究人员将开发一个高度灵活的概率尖峰训练模型，以捕捉LIP中神经群体的尖峰反应，结合神经元，尖峰历史和适应之间的相关性，以及对各种感觉，运动，决策和奖励变量的完整依赖性。这项研究的一个新的特点是，它不预设一个特定的机械或规范理论的LIP功能;相反，它开始寻求一个描述模型的LIP反应，因为它们实际上存在于大脑中。这将允许充分考虑LIP尖峰所携带的时变信息以及用于解码它们的各种策略的最优性，并将为推导和评估LIP函数的简化模型提供平台。该研究将理论和实验紧密结合，设计了几个新的实验来研究多个神经元之间的决策联合编码。协作：这项拟议中的研究代表了两名年轻研究人员之间的新合作，他们在计算神经科学和系统神经生理学方面具有专业知识。它将结合联合收割机国家的最先进的统计方法的尖峰列车建模和实验方法记录多个神经元的同时活动。该提案的目标将通过将理论和模型开发与电生理实验紧密结合来实现，这将通过两名研究人员的接近来促进。更广泛的影响：顶叶皮层在决策中起着核心作用，并与各种主要的大脑疾病有关，包括抑郁症，焦虑症，精神分裂症和帕金森氏病。通过揭示健康大脑中神经决策的计算基础，这项研究为促进对这些疾病的理解和治疗带来了巨大的希望。此外，要开发的模型和方法是非常普遍的，适用于各种各样的大脑区域参与感觉和运动处理。这些方法将有助于设计先进的感觉和运动神经假体设备，人类工程系统，取代感觉或运动系统的受损部分。所有软件都将在网上公开提供，这将加强计算神经科学研究和教育的基础设施。研究建议将在几个关键方面促进教学和培训。该项目基本上是跨学科的，结合了尖端的生理和计算技术。受训者将在两个研究者的实验室中度过一段时间，并将获得宝贵的实践和协作教育。该项目还将直接告知两位研究人员开发的课程。调查人员将通过在Learning Ally（奥斯汀视障人士录音室）为视障人士制作基础数学和科学教科书的录音来促进公众对科学的理解。调查员将力求从传统上代表性不足的群体，特别是妇女中征聘实习生和毕业生。最后，他们将在当地的初中和高中进行推广，以激发对数学和计算机科学的热情，这些学科是发现大脑如何工作的令人兴奋的挑战的基础。

DESCRIPTION (provided by applicant): Intellectual Merit: Perceptual decision-making is an essential cognitive capability. It requires neural circuits that can accumulate sensory evidence, combine it with prior information, and select an appropriate action at an appropriate time. Theories of the brain's ability to perform these computations have primarily involved either "mechanistic" models based on dynamical systems, or "normative" models of optimal decision-making imported from psychology, statistics, or economics. However, existing theories do not account-or even attempt to account-for the detailed response properties of neurons believed to carry out these computations. Multi-neuron recordings necessary to evaluate such theories have not yet been collected. There is as yet no general theoretical framework for relating the various sensory, motor, memory, and reward variables involved in decision-making to the time-varying spike responses of multiple neurons that collectively compute decision. This proposal aims to fill that gap. The goal of the proposed research is a detailed and comprehensive understanding of the encoding and decoding of decision-related information by groups of neurons in lateral intraparietal cortex (area LIP), a brain region strongly implicated in decision-making. Multi-electrode recordings will be obtained from primates engaged in decision-making tasks; this will provide the first window into the simultaneous representation of decisions by groups of spiking neurons. The investigators will develop a highly flexible probabilistic spike train model to capture the spike responses of neural populations in LIP, incorporating correlations between neurons, spike-history and adaptation, and a complete set of dependencies on various sensory, motor, decision and reward variables. A novel feature of this research is that it does not presuppose a particular mechanistic or normative theory of LIP function; rather, it begins by seeking a descriptive model of LIP responses as they actually exist in the brain. This will allow for a full accounting of the time-varying information carried by LIP spikes and the optimality of various strategies for decoding them, and will provide a platform for deriving and evaluating simplified models of LIP function. The research will tightly integrate theory and experiment with several new experiments designed to examine the joint coding of decisions across multiple neurons. Collaboration: The proposed research represents a new collaboration between two young investigators with expertise in computational neuroscience and systems neurophysiology. It will combine state-of-the-art statistical methods for spike train modeling and experimental methods recording the simultaneous activity of multiple neurons. The goals of the proposal will be met by closely integrating theory and model development with electrophysiological experiments, which will be facilitated by the proximity of the two investigators. Broader Impacts: The parietal cortex plays a central role in decision-making, and is implicated in a variety of major brain disorders, including depression, anxiety, schizophrenia, and Parkinson's disease. By revealing the computational underpinnings of neural decision making in healthy brains, the proposed research holds great promise for advancing the understanding and treatment of these disorders. Moreover, the models and methodologies to be developed are very general, with applicability to a wide variety of brain areas involved in sensory and motor processing. These methods will aid in the design of advanced sensory and motor neural prosthetic devices, human-engineered systems that replace damaged portions of the sensory or motor system. All software will be made publicly available online, which will enhance the infrastructure for research and education in computational neuroscience. The research proposal will promote teaching and training in several key respects. The project is fundamentally interdisciplinary, combining cutting-edge physiological and computational techniques. Trainees will spend time in both investigator's labs, and will receive an invaluable hands-on, collaborative education. The project will also directly inform classes developed by both investigators. The investigators will promote public scientific understanding by making audio recordings of basic math and science textbooks for the visually impaired at the Learning Ally (Austin's recording studio for the visually impaired). The investigators will aim to recruit interns and graduates from traditionally under-represented groups, especially women. Finally, they will conduct outreach at local middle and high schools in order to spark enthusiasm for mathematics and computer science, disciplines which are fundamental to the exciting challenge of discovering how the brain works.