Neurotechnologies for Analysis of Network Dynamics

描述（由申请人提供）：拟议课程的目标，题为“神经技术的网络动力学分析”（NAND），是向学生介绍物理，数学，计算机科学和工程训练的理论和现代神经科学的实践，特别强调现代方法的网络动力学分析哺乳动物皮层电路负责行为决策。最近的进展，在开发方法的电和光学记录从10秒到100秒的神经元，同时与细胞分辨率是革命性的，我们的能力，以确定神经活动sttes对应的记忆存储和决策的时期，清醒的，行为的脊椎动物，包括哺乳动物。这门新课程的目标是为学生提供神经科学以外的定量学科的高级培训所需的理论背景和实践经验，以了解和促进解剖学定义的神经回路中神经网络动力学分析的持续革命，用于根据感官输入做出决策，通过生成运动命令来实现这些决策，并将信息存储在短期和长期记忆中，以供后续决策使用。计划开设为期四周的课程。讲座将向学生介绍：i）细胞和突触生理学的基础知识; ii）一系列促进网络分析的细胞和分子工具; iii）大规模多位点记录技术; iv）多通道记录产生的大型数据集的分析; v）从动物和人类大脑获得多位点记录的方法，包括电记录和光记录; vi）皮质回路中的信息处理模型，特别是在强化学习期间。实验室部分将提供在记录和分析的额外的和细胞内的记录，在海马体中的突触可塑性的生成和记录，和多站点的光学和电气记录从清醒的行为啮齿动物的经验。学生将使用光遗传学方法进行电路分析，并学习在信息处理任务期间对人类受试者的活动进行功能磁共振成像测量。实验室的顶点是一个为期一周的时间专门用于学生设计的独立项目。

DESCRIPTION (provided by applicant): The goal of the proposed course, entitled "Neurotechnologies for Analysis of Network Dynamics" (NAND), is to introduce students with training in physics, mathematics, computer science, and engineering to the theory and practice of modern neuroscience, with special emphasis on modern methods for the analysis of network dynamics in mammalian cortical circuits responsible for behavioral decision making. Recent progress in developing methods for electrical and optical recording from 10s to 100s of neurons simultaneously with cellular resolution is revolutionizing our ability to define neural activity sttes that correspond to periods of memory storage and decision-making in awake, behaving vertebrate animals, including mammals. The goal of this new course is to give students with advanced training in quantitative disciplines outside of neuroscience the theoretical background and practical experience needed to understand and contribute to the ongoing revolution in the analysis of neural network dynamics in anatomically defined neural circuits being used to make decisions based on sensory input, implement those decisions by generation of motor commands, and store information in both short-term and long-tem memory for use in subsequent decision-making. A four-week course is planned. The lectures will introduce the students to: i) the basics of cellular and synaptic physiology; ii) an array of cellular and molecular tools to facilitate network analysis; iii) technology for large scale multi-site recordin; iv) the analysis of large data sets produced by multi-channel recording; v) methods for obtaining multi-site recordings, both electrical and optical, from both animal and human brains; vi) models of information processing in cortical circuits, particularly during reinforcement learning. The laboratory component will provide experience in the recording and analysis of extra- and intracellular recordings, generation and recording of synaptic plasticity in the hippocampus, and multi-site optical and electrical recordings from awake behaving rodents. Students will use optogenetic methods for circuit analysis and learn to make fMRI measurements of activity in human subjects during an information processing task. The capstone of the laboratory is a one-week period devoted to student designed Independent Projects.