CORE--THEORETICAL ISSUES, CONSTRAINTS AND COMPUTATIONAL RESOURCES

核心——理论问题、约束和计算资源

• 批准号: 6494861
• 负责人: James McClelland
• 金额: $ 20.94万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-08-27 至 2003-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6494861
• 关键词: biomedical facility; cognition; computational neuroscience; computer program /software; computer system design /evaluation; computer system hardware; data management; information theory; model design /development; neural information processing

The aims of the core section of this program project are to further the development of the theoretical framework underlying the project for understanding normal and disordered cognition by exploring basic theoretical issues, and to foster the integration into the theoretical framework of constraints and research results arising from other approaches and methodologies. This part of the project will also proved shared resources that will support the four part projects. Two issues have emerged from our recent investigations as topics requiring focussed theoretical investigation: (1) The nature of the representations that are used in particular domains, and the constraints that shape and motivate their characteristics. (2) The nature and significance of the organization of the networks that subserve various aspects of cognition, and the reasons for their functional specialization. These issues will be addressed using simulation models based on the ideas that networks may be optimal or at least locally optimal solutions to an ensemble of constraints. Exploring how these constraints influence processing and learning in networks will be examined through computer modeling studies.

该项目核心部分的目标是进一步 该项目所依据的理论框架的发展 通过探索基本的 理论问题，并促进融入理论 制约因素和研究成果的框架 办法和方法。 该项目的这一部分还将 已证明的共享资源将支持四个部分的项目。 两 在我们最近的调查中， 需要集中的理论研究：（1）的性质 在特定领域中使用的表示，以及 制约因素塑造和激发了他们的特征。 (2)的 网络组织的性质和意义， 有助于认知的各个方面，以及他们的原因 功能专业化 这些问题将使用 基于网络可能是最优的思想的仿真模型 或者至少是约束集合的局部最优解。 探索这些限制如何影响处理和学习， 网络将通过计算机模拟研究进行检查。