Behavioral and Functional Neuroscience Laboratory

项目摘要(BFNL) 作为斯坦福大学三大神经科学核心之一，斯坦福大学的行为和功能 神经科学实验室(BFNL)。此核心设施为标准和 自动感觉运动、学习和记忆、社会行为范例以及啮齿动物的专业知识 结合药理学和实验药物测试的中枢神经系统障碍模型。此外, 由该核心建立的自动化行为测试范例帮助我们的社区进一步解决 使用最先进的仪器如Intelicage的行为测试的标准化和重复性 和PhenoLab自动化家庭环境监测系统。这些系统提供完整的家庭- 笼式感觉运动行为监测能力，可以测试简单和复杂的学习和记忆 以完全自动化的方式完成任务，最大限度地减少人工干预。利用这种专业知识和技术，BFNL 为新的转基因品系提供最先进的表型鉴定服务，并提供经过验证的CNS 过去几年用于测试新化合物和神经药理学探索的疾病模型 好几年了。BFNL免费共享实验方案和数据。行为范式的详细清单， 大多数行为范例的标准操作程序、协议和样本数据集 在http://sbfnl.stanford.edu/testingtable.上公开分享 在过去的四年里，BFNL为55个实验室和教职员工提供了近40,000小时的服务。 这一努力总共导致了20多种出版物的出版。展望未来，BFNL将继续提供以下服务 提供服务并分配额外资源，以更积极地解决外地日益关切的一些问题 关于动物模型在药物发现中的预测价值和固有局限性，并创新和 扩展其自动化测试功能。所有这些进展都将与神经科学分享 社区通过我们新改进的资源共享网站。

Project Summary (BFNL) As one of the three Stanford Neuroscience Cores, the Stanford Behavioral and Functional Neuroscience Laboratory (BFNL). This core facility provides a centralized resource for standard and automated sensorimotor, learning and memory, and social behavioral paradigms as well as expertise in rodent models of CNS disorders in conjunction to pharmacological and experimental drug testing. In addition, automated behavior testing paradigms established by this core have helped our community to further address the standardization and reproducibility of behavioral tests using state-of-the-art apparatuses such as Intellicage and PhenoLab automated home environment monitoring systems. These systems provide complete home- cage sensorimotor behavioral monitoring capabilities and can test simple and complex learning and memory tasks in a fully automated fashion with minimal human intervention. Using this expertise and technology BFNL has provided state-of-the-art phenotyping services for novel transgenic lines and provided validated CNS Disease Models for testing novel compounds and neuropharmacological exploration during the past several years. BFNL has freely shared experimental protocols and data. The detailed list of behavioral paradigms, standard operating procedures, protocols, and a sample data set for most behavioral paradigm has been shared publicly at http://sbfnl.stanford.edu/testingtable. Over the past four years, BFNL has supported 55 labs and faculty with almost 40,000 hours of services. This effort has led to more than 20 publications overall. Going forward BFNL will continue providing these services and allocate additional resources to address more actively some of the rising concerns in the field about the predictive value and inherent limitations of animal models in drug discovery and also innovate and expand upon its automated testing capabilities. All of these advances will be shared with the neuroscience community via our newly improved resource sharing websites.