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

南加州大学（USC）正在与墨西哥城的两家机构（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上的应用。为了提供多层次的模拟，我们将现有的神经模拟语言NSL与抽象模式语言ASL提供的用于面向对象管理称为模式的层次结构的功能集成在一起。这将与南加州大学正在进行的生物数据表示数据库工作相关联，该数据库是由几家美国机构支持的人脑项目的一部分。此外，该项目补充了乔治亚理工学院和ITAM之间的第二个NSF-CONACyt合作项目，该项目研究了“生态机器人：图式理论方法”的技术问题。该方法将提供模拟工具，帮助神经科学家更好地理解与生物现象相关的动态过程，以及一种具有远远超出大脑研究界含义的技术。

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.