SenseLab: Integration of Multidisciplinary Sensory Data

SenseLab：多学科感官数据整合

• 批准号: 8516492
• 负责人: GORDON SHEPHERD
• 金额: $ 61.73万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8516492
• 关键词: Accounting; Alzheimer' s Disease; Animal Model; Base of the Brain; Biological Models; Brain; Brain imaging; Brain region; Budgets; Cells; Cognition; Cognitive; Communities; Computer Analysis; Computer Simulation; Computing Methodologies; Cortical Column; Critiques; Data; Data Analyses; Databases; Dendrites; Development; Distributed Systems; Environment; Family; Future; Genome; Goals; Grant; Impaired cognition; Indium; Individual; International; Laboratories; Lateral; Maps; Mediating; Medical Informatics; Methods; Modeling; Molecular; Nature; Nerve; Nervous system structure; Neurodegenerative Disorders; Neurons; Neurosciences; Neurosciences Research; Odors; Pathogenesis; Perception; Pharmacology; Pilot Projects; Population Database; Process; Program Research Project Grants; Property; Research; Research Project Grants; Resources; Senile Plaques; Sensory; Signal Transduction; Site; Smell Perception; Switzerland; Synapses; System; Testing; Work; abstracting; base; cognitive function; computer studies; computerized data processing; data modeling; experimental analysis; information framework; insight; interoperability; meetings; multidisciplinary; nervous system disorder; neuroinformatics; novel; olfactory bulb; olfactory receptor; relating to nervous system; research study; scale up; simulation; two-dimensional

Abstract The SenseLab suite of 8 interoperable databases is aimed at supporting our research on a model system for brain organization, the olfactory bulb, and at sharing these and related resources with the neuroscience and neuroinformatics communities. During the past 5 years a Program Project grant has enabled us to begin to move from the synaptic and cell levels to the microcircuit level, and in this R01 grant we will build directly on this work. First, we will continue development of our most heavily used databases - NeuronDB and ModelDB - for the analysis of dendritic signal integration, and ORDB, supporting work on olfactory receptors, the largest family in the genome. We will continue to participate in the Neuroscience Database Gateway, the Neuroscience Information Framework, and the International Neuroinformatics Coordinating Facility. We will continue to demonstrate how databases support neuroscience research with two new research projects to develop computational models that give insight into experimental data. One project is to deepen insight into our recent experimental evidence from transsynaptic tracing for widely distributed cell columns, which we hypothesize are involved in processing odor maps. We will analyze this data and use it to refine first a reduced microcircuit in which the glomerular cell columns respond to the excitatory input from the odor maps and process it through distance-independent lateral inhibition between glomerular columns. With continual testing by the experimental data, we will scale up the model to 100 columns, then to 2,000, to characterize the global processing of odor maps to an extent not possible with experimental methods. This work will be carried out as a pilot project in parallel with the Blue Brain Project in Switzerland on realistically-based large- scale cortical networks. A new database, MicrocircuitDB, will be developed to support this and related studies of microcircuit organization. A second new project will extend our computational analysis of energy demands in the olfactory glomerulus to the lateral inhibitory interactions, to provide a more thorough understanding of the energy demands of the microcircuits that process odor maps. A new database project is to apply NeuronDB and ModelDB to analyzing the impact of the early pathogenesis of neurodegenerative disorders on dendritic signal integration. For this purpose we are developing a new database, Brain Pharmacology (BrainPharm). All of this work will benefit from continued support and development by the Yale Center for Medical Informatics, and by the NEURON simulation environment team.

摘要 SenseLab套件的8个可互操作的数据库旨在支持我们对模型的研究 系统的大脑组织，嗅球，并在分享这些和相关的资源与 神经科学和神经信息学社区。在过去的五年里，一个项目的赠款已 使我们能够开始从突触和细胞水平转移到微电路水平，在这个R 01中， 我们将直接在此基础上开展工作。首先，我们将继续开发我们最常用的 数据库- NeuronDB和ModelDB -用于分析树突状细胞信号整合，和ORR B， 支持嗅觉受体的研究，嗅觉受体是基因组中最大的家族。我们将继续参与 在神经科学数据库网关，神经科学信息框架，和国际 神经信息学协调机构。我们将继续演示数据库如何支持 神经科学研究与两个新的研究项目，以开发计算模型， 转化为实验数据。一个项目是加深对我们最近的实验证据的了解， 广泛分布的细胞柱的跨突触追踪，我们假设这些细胞柱参与了处理 气味图我们将分析这些数据，并使用它来完善第一个减少微电路，其中， 肾小球细胞柱对来自气味图的兴奋性输入做出反应，并通过 肾小球柱之间的距离非依赖性侧抑制。通过不断的测试， 实验数据，我们将把模型放大到100列，然后到2,000列，以表征全局 处理气味图到实验方法不可能的程度。这项工作将由 作为一个试点项目，与瑞士的蓝脑项目平行， 扩展皮层网络。将开发一个新的数据库MicrocircuitDB来支持这一点和相关内容 微电路组织的研究。第二个新项目将扩展我们的计算分析 能量需求在嗅球的横向抑制的相互作用，以提供更多的 彻底了解处理气味图的微电路的能量需求。一个新 数据库项目是应用NeuronDB和ModelDB分析早期发病机制的影响 神经退行性疾病对树突信号整合的影响。为此，我们正在开发一个 脑药理学（BrainPharm）。所有这些工作都将受益于持续的支持， 由耶鲁大学医学信息学中心和NEURON仿真环境开发 团队