SenseLab: Integration of Multidisciplinary Sensory Data

SenseLab：多学科感官数据整合

• 批准号: 7631907
• 负责人: GORDON SHEPHERD
• 金额: $ 65.69万
• 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/7631907
• 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; base; cognitive function; computer studies; computerized data processing; information framework; insight; interoperability; meetings; multidisciplinary; nervous system disorder; neuroinformatics; novel; olfactory bulb; olfactory receptor; public health relevance; relating to nervous system; research study; scale up; simulation; two-dimensional

DESCRIPTION (provided by applicant): 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. PUBLIC HEALTH RELEVANCE: There is a critical need to understand how signals are processed in nerve cells and nerve circuits as a basis for brain function. We attempt to enhance this effort through a system of interrelated databases of experimental data and computer models. The new projects should give a deeper understanding of both normal brain function and neurological disorders such as Alzheimer's disease

描述（由申请人提供）：SenseLab套件的8个可互操作的数据库旨在支持我们对大脑组织模型系统（嗅球）的研究，并与神经科学和神经信息学社区共享这些和相关资源。 在过去的5年里，一个计划项目的赠款使我们能够开始从突触和细胞水平的微电路水平，并在此R 01赠款，我们将直接建立在这项工作。 首先，我们将继续开发我们最常用的数据库- NeuronDB和ModelDB -用于分析树突状信号整合，以及用于支持嗅觉受体（基因组中最大家族）工作的ORR。 我们将继续参与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制。 我们将通过两个新的研究项目来继续展示数据库如何支持神经科学研究，以开发能够洞察实验数据的计算模型。 其中一个项目是深入了解我们最近的实验证据，从跨突触追踪广泛分布的细胞列，我们假设参与处理气味地图。 我们将分析这些数据，并使用它来完善第一个减少微电路中的肾小球细胞柱响应的兴奋性输入的气味地图，并通过肾小球柱之间的距离独立的侧抑制处理它。 通过实验数据的不断测试，我们将把模型扩展到100列，然后扩展到2,000列，以表征气味图的全局处理，达到实验方法无法达到的程度。 这项工作将作为一个试点项目，与瑞士的蓝脑项目平行进行，涉及基于现实的大规模皮层网络。 一个新的数据库，MicrocircuitDB，将被开发，以支持这一点和微电路组织的相关研究。 第二个新项目将把我们对嗅球能量需求的计算分析扩展到侧抑制相互作用，以更全面地了解处理气味图的微电路的能量需求。 一个新的数据库项目是应用NeuronDB和ModelDB来分析神经退行性疾病的早期发病机制对树突信号整合的影响。 为此，我们正在开发一个新的数据库，脑药理学（BrainPharm）。 所有这些工作都将受益于耶鲁大学医学信息中心和NEURON模拟环境团队的持续支持和开发。 公共卫生相关性：我们迫切需要了解信号如何在神经细胞和神经回路中处理，作为大脑功能的基础。 我们试图通过实验数据和计算机模型的相互关联的数据库系统来加强这方面的努力。 这些新项目应该能让人们更深入地了解正常的大脑功能和阿尔茨海默氏症等神经系统疾病