Millisecond resolution statistics of cortical populations

项目摘要/摘要 哺乳动物的大脑通过协调一致的 神经元群体的活动，但尖峰时间或尖峰计数协调的程度 在这些组合中，除了配对之外的还不清楚。预测变量的神经编码模型 尖峰模式的出现频率和解码模型描述了对尖峰时间的要求 人口反应的精确度。虽然已经做出了相当大的努力来实现 这种神经编码方案的理论基础的发展和完善，以及预测 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 超越能够区分种群编码的相互竞争的假说的配对。建议数 职业发展计划旨在将初级视觉皮质的大规模电生理学与 计算和理论神经科学工作对SPEKE的具体预测分析 超越成对互动的时间协调。这位候选人在体内有很深的背景 实验技术并建议在高维计算中接受培训 技术，并使用收集的实验数据来验证具体的理论预测。这 培训将建立学习成功的独立研究生涯所需的技能 视觉皮层中信息表达和传递的机制，弥合 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 克莱·里德博士的指导，他是哺乳动物中央视觉多方面的世界专家 包括解剖、生理学和计算在内的处理。埃里克·谢伊博士的补充建议- 布朗和克里斯托夫·科赫博士将在理论和应用数学方面提供指导 实施和评估高级神经编码和解码模型所需的方法。这个 培训将利用艾伦脑科学研究所在收集大规模数据和 华盛顿大学的教育机会。在独立阶段，候选人将 将新学到的分析和建模技能与他以前在 光遗传技术，以更好地限制种群测量。这项工作将有助于建立一个 独一无二的独立研究计划，以阐明皮层表征的潜在机制。

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.