Sequence Memories and Their Integration for Planning: A Spiking Neural Network Model

摘要：

We propose a biologically-inspired auto/heteroassociative spiking neural network combined with a working memory model, in which a state-driven forward sequence and a goal-driven backward sequence on the associative network are integrated in the working memory to make a plan. By discrete pulse-driven neural network simulations, we show that several characteristics of planning process such as goal-directed attention control at a branch point of a plan, incremental planning, and planning by combining episodes can be realized in our system.

作者: Masayasu Atsumi

作者单位: Department of Information Systems Science Faculty of Engineering, Soka University 1-236 Tangi-cho, Hachioji-shi, Tokyo 192-8577, JAPAN

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 929-934

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）