Multi-Level Simulation Methodology: A Computational and Experimental Approach To Neural Systems

多级仿真方法：神经系统的计算和实验方法

• 批准号: 9522999
• 负责人: Michael Arbib
• 金额: $ 10.1万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-05-01 至 1999-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9522999&HistoricalAwards=false
• 关键词: Multi; Level; Simulation; Methodology; Computational

The University of Southern California (USC) is collaborating with two institutions in Mexico City (ITAM and CINVESTAV) to advance the methodology of simulating complex systems, with especial application to neural models at different levels of analysis. To provide multi-level simulation we integrate our present neural simulation language NSL with the facilities for object-oriented management of hierarchical structures called schemas provided by the abstract schema language ASL. This will be linked to work in databases for the representation of biological data underway at USC as part of the Human Brain Project supported by several US agencies. Additionally, the project complements a second NSF-CONACyt collaboration, between Georgia Tech and ITAM, that studies the technological issues of `Ecological Robotics: A Schema-Theoretic Approach`. The methodology will provide simulation tools which will help neuroscientists gain a better understanding of the dynamical processes associated with biological phenomena, and a technology with implications far beyond the brain research community.

南加州大学（USC）正在与墨西哥城的两个机构（ITAM和CINVESTAV）合作，以推进模拟复杂系统的方法，特别是在不同分析层次的神经模型中的应用。 为了提供多层次的模拟，我们将我们目前的神经模拟语言NSL的设施，面向对象的管理层次结构的抽象模式语言ASL提供的模式。这将与南加州大学正在进行的生物数据表示数据库中的工作联系起来，作为由几个美国机构支持的人脑项目的一部分。此外，该项目补充了格鲁吉亚理工学院和ITAM之间的第二次NSF-CONACyt合作，该合作研究了“生态机器人：一种模式理论方法”的技术问题。 该方法将提供模拟工具，这将有助于神经科学家更好地了解与生物现象相关的动态过程，以及一种影响远远超出大脑研究界的技术。