Millisecond resolution statistics of cortical populations

皮质群体的毫秒分辨率统计

• 批准号: 10188535
• 负责人: Daniel James Denman
• 金额: $ 24.15万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-30 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10188535
• 关键词: Address; Anatomy; Animals; Brain; Cells; Characteristics; Code; Cognition Disorders; Complex; Computational Technique; Data; Development; Development Plans; Electrophysiology (science); Frequencies; Impaired cognition; Institutes; Knowledge; Left; Link; Measurement; Measures; Mentors; Modeling; Molecular; Motor; Mus; Nature; Neuraxis; Neurons; Neurosciences; Output; Pattern; Perception; Performance; Phase; Physiological; Physiology; Population; Population Process; Population Statistics; Property; Psychophysics; Recovery; Research; Resolution; Scheme; Science; Sensory; Sensory Disorders; Stimulus; Structure; Techniques; Testing; Theoretical model; Time; Training; Traumatic CNS injury; Universities; Variant; Visual Cortex; Washington; Work; area striata; awake; career; career development; clay; computational neuroscience; data resource; deep learning; deep learning algorithm; disability; extrastriate visual cortex; high dimensionality; in vivo; innovation; large scale data; mathematical methods; millisecond; neural model; novel; optogenetics; predictive modeling; programs; relating to nervous system; response; sensory prosthesis; skills; statistics; theories; visual processing

Project Summary/Abstract The mammalian brain builds and transforms representations of the outside world through the concerted activity of populations of neurons, but the extent to which spike times or spike counts are coordinated within these ensembles beyond pairs is not clear. Models of neural encoding predict variable frequencies of spike pattern occurrence, and models of decoding delineate requirements for spike time precision within the population response. While considerable effort has been made toward the development and refinement of the theoretical basis of such neural coding schemes, and predictions have been tested against single cell and pairwise data, there has been relatively little experimental data beyond pairs able to differentiate between competing hypotheses of population coding. The proposed career development plan aims to marry large-scale electrophysiology in primary visual cortex with analysis of specific predictions derived from computational and theoretical neuroscience work for spike time coordination beyond pairwise interactions. The candidate has a deep background in in vivo experimental techniques and proposes to receive training in the high-dimensional computational techniques and to use experimental data collected to validate specific theoretical predictions. This training will establish the skills necessary for a successful independent research career studying the mechanisms of information representation and transfer in visual cortex, bridging the gap between experimental and computational neuroscience. The candidate will carry out the mentored phase under the guidance of Dr. Clay Reid, a world expert in multiple aspects of mammalian central visual processing including anatomy, physiology, and computation. Additional advising from Dr. Eric Shea- Brown and Dr. Christof Koch will provide guidance in the theoretical and applied mathematical approaches required to implement and assess advanced models of neural encoding and decoding. The training will utilize the strengths of the Allen Institute for Brain Science in collecting large-scale data and the didactic opportunities at the University of Washington. In the independent phase the candidate will use the newly acquired analytical and modeling skills in combination with his previous training in optogenetic techniques to better constrain population measurements. This work will help establish a unique independent research program to elucidate the mechanisms underlying cortical representation.

项目总结/摘要 哺乳动物的大脑通过协调一致的信息来构建和转换外部世界的表征。 活动的神经元群体，但在何种程度上尖峰时间或尖峰计数协调 在这些合奏超越对是不清楚的。神经编码预测变量模型 尖峰模式出现的频率和解码模型描述了尖峰时间的要求 人口响应的精确度。虽然已经做出了相当大的努力， 发展和完善这种神经编码方案的理论基础，并预测 已经针对单细胞和成对数据进行了测试，但实验数据相对较少 超越了能够区分种群编码的竞争假设的配对。拟议 职业发展计划旨在将初级视觉皮层的大规模电生理学与 对来自计算和理论神经科学工作的特定预测的分析 时间协调超越了两两互动。候选人在体内有很深的背景 实验技术，并建议接受培训，在高维计算 技术，并使用收集的实验数据来验证具体的理论预测。这 培训将建立必要的技能，为成功的独立研究生涯学习， 视觉皮层的信息表征和传递机制，弥合了视觉和视觉之间的差距。 实验和计算神经科学。候选人将在以下条件下进行指导阶段 Clay Reid博士的指导，他是哺乳动物中央视觉多方面的世界专家 包括解剖学、生理学和计算在内的处理。Eric Shea博士的其他建议- 布朗和博士克里斯托弗科赫将提供指导的理论和应用数学 实现和评估神经编码和解码的高级模型所需的方法。的 培训将利用艾伦脑科学研究所在收集大规模数据方面的优势， 在华盛顿大学教书的机会。在独立阶段，候选人将 将新获得的分析和建模技能与他以前的培训相结合， 光遗传学技术，以更好地约束人口测量。这项工作将有助于建立一个 独特的独立研究计划，以阐明皮层代表的机制。