The Neural Simulation Language: A System for Brain Modeling
The Neural Simulation Language: A System for Brain Modeling
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DOI：
10.1086/377909
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发表时间：
2002-07
期刊：
影响因子：
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通讯作者：
A. Weitzenfeld;M. Arbib;A. Alexander
中科院分区：
文献类型：
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作者：
A. Weitzenfeld;M. Arbib;A. Alexander
出版商介绍：神经模拟语言 (NSL) 由 Alfredo Weitzenfeld、Michael Arbib 和 Amanda Alexander 开发，为模块化大脑建模提供了模拟环境。 NSL 是一种面向对象的语言，提供适用于所有级别的神经模拟的面向对象的协议。 NSL 的主要优势之一是它可以对宏观大脑结构的解剖结构进行真实的建模。本书分为两部分。第一部分介绍了神经网络和模式建模的概述、NSL 的简史以及新版本 NSL 3.0 的详细讨论。它包括有关几种基本模式和神经网络模型的教程。第二部分介绍了来自世界各地的研究人员在 NSL 中构建的模型，包括条件学习、面部识别、联想搜索网络和视觉运动协调的模型。每章都提供了模型的解释、NSL 3.0 代码的概述以及一组代表性的仿真结果。
From the Publisher: The Neural Simulation Language (NSL), developed by Alfredo Weitzenfeld, Michael Arbib, and Amanda Alexander, provides a simulation environment for modular brain modeling. NSL is an object-oriented language offering object-oriented protocols applicable to all levels of neural simulation. One of NSL's main strengths is that it allows for realistic modeling of the anatomy of macroscopic brain structures. The book is divided into two parts. The first part presents an overview of neural network and schema modeling, a brief history of NSL, and a detailed discussion of the new version, NSL 3.0. It includes tutorials on several basic schema and neural network models. The second part presents models built in NSL by researchers from around the world, including those for conditional learning, face recognition, associative search networks, and visuomotor coordination. Each chapter provides an explanation of a model, an overview of the NSL 3.0 code, and a representative set of simulation results.