SenseLab: Integration of Multidisciplinary Sensory Data

描述(申请人提供)：SenseLab的总体目标是通过创新的数据库和工具整合多学科的神经科学数据，使用嗅觉系统作为可以在神经系统中推广的模型。为此，我们创建了8个可互操作的数据库，为不断增长的用户社区提供多层次的实验数据和计算模型，从基因和蛋白质到神经元再到电路。SenseLab有三个基础：佩里·米勒指导的神经信息学，戈登·谢泼德指导的实验数据，以及迈克尔·海因斯的计算模型。其中一个焦点将是ModelDB，它正在强劲增长，拥有800多个计算模型。我们将构建新的功能，以便能够使用包括模型搜索和模型视图在内的新工具来探索模型。我们将通过微电路数据库支持一个新兴的大脑微电路领域，目前微电路数据库包含200多个模型。一个新的BrainPathPhysiolDB将包含100多个与临床相关的神经元病理生理学模型。一个新的ORModelDB将在嗅觉受体数据库(ORDB)中添加分子模型，以增强其目前包含的14,000多个化学感觉基因和蛋白质的实用性。为了加强互操作性，我们将继续与神经科学信息框架(NIF)和国际神经信息学协调设施(INCF)密切合作，为神经元和微电路开发一个通用本体。米勒博士和他在耶鲁医学信息学中心的同事的支持将是至关重要的，这将使SenseLab能够继续开发其最先进的基础设施和工具，用于数据库建设和互操作。我们将探索设计、调整和/或增强单个SenseLab数据库的创新方法，以促进与其他神经科学数据库、工具和资源(如NIF)的强大互操作。在我们的实验和计算研究中，我们将开发新一代大规模微电路模型，真实地表示具有交叠的树突场和分布式突触相互作用的多种神经元类型的详细三维形态。海因斯博士开发的神经元模拟器在大规模并行集群计算机上计算这一模型的能力是独一无二的。我们将使用与Justus Verhgen博士的实验室正在进行的合作中的实验数据来测试该模型，并将与致力于嗅球和其他系统的其他实验室共享该模型。总之，这种多学科、多层次的方法将实验数据整合到现实的计算模拟中，应该作为分析嗅觉处理和当前在整个大脑中整合数据的尝试的模型。

DESCRIPTION (provided by applicant): The overall aim of SenseLab is to integrate multidisciplinary neuroscience data by means of innovative databases and tools, using the olfactory system as a model which can generalize across the nervous system. For this purpose we have created 8 interoperable databases that serve growing user communities for experimental data and computational models at multiple levels, from genes and proteins through neurons to circuits. SenseLab has three foundations: neuroinformatics directed by Perry Miller, experimental data by Gordon Shepherd, and computational modeling by Michael Hines. One focus will be on ModelDB, which is growing strongly with over 800 computational models. We will build new functionality to enable the models to be explored with new tools including ModelSearch and ModelView. We will support an emerging field of brain microcircuits through MicrocircuitDB, which currently contains over 200 models. A new BrainPathPhysiolDB will contain over 100 models of neuron pathophysiology with clinical relevance. A new ORModelDB will add molecular models to the Olfactory Receptor Database (ORDB) to enhance the utility of the 14,000+ chemosensory genes and proteins that it currently contains. To enhance interoperation we will continue to work closely with the Neuroscience Information Framework (NIF) and the International Neuroinformatics Coordination Facility (INCF) to develop a general ontology for neurons and microcircuits. Support by Dr. Miller and his colleagues in the Yale Center for Medical Informatics will be critical, and enable SenseLab to continue developing its state-of-the-art infrastructure and tools for database construction and interoperation. We will explore innovative ways in which individual SenseLab databases can be designed, adapted, and/or enhanced to facilitate robust interoperation with other neuroscience databases, tools, and resources such as the NIF. In our experimental and computational studies we will develop a new generation of large-scale microcircuit models which realistically represent the detailed 3 dimensional morphology of multiple neuron types with overlapping dendritic fields and distributed synaptic interactions. The NEURON simulator, developed by Dr. Hines, is unique in its capability for computing this model on massively parallel cluster computers. We will test the model with experimental data from an ongoing collaboration with the lab of Dr. Justus Verhagen, and will share the model with other labs working on the olfactory bulb and other systems. In summary, this multidisciplinary and multilevel approach using integration of experimental data into realistic computational simulations should serve as a model for analysis of olfactory processing and for current attempts at data integration throughout the brain.