Associative Latching Dynamics vs. Syntax

摘要：

We model the cortical dynamics underlying a free association between two memories. Computationally, this process may be realized as the spontaneous retrieval of a second memory after the recall of the first one by an external cue, what we call a latching transition. As a global cortical model, we study an associative memory Potts network with adaptive threshold, showing latching transitions. With many correlated stored patterns this unstable dynamics can proceed indefinitely, producing a sequence of spontaneously retrieved patterns. This paper describes the informational properties of latching sequences expressed by the Potts network, and compares them with those of the sentences comprising the corpus of a simple artificial language we are developing, BLISS. Potts network dynamics, unlike BLISS sentences, appear to have the memory properties of a second-order Markov chain.

关键词： Memory Attractor dynamics Information Artificial language

作者: Eleonora Russo Sahar Pirmoradian Alessandro Treves

作者单位: SISSA Cognitive Neuroscience, Trieste, Italy

会议类型: 国际会议

会议名称: The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)

会议地点: 杭州

会议语种:英文

页码: 111-116

在线出版日期: 2009-11-15（万方平台首次上网日期，不代表论文的发表时间）