A computational model of a global neuronal workspace with stochastic connections

被引：9

作者：

Connor, Dustin ^{[1
]}

Shanahan, Murray ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Comp, London SW7 2AZ, England

来源：

NEURAL NETWORKS | 2010年 / 23卷 / 10期

基金：

英国工程与自然科学研究理事会;

关键词：

Global workspace theory; Global neuronal workspace; Reverberating networks; Cortical competition; VISUAL-CORTEX; BISTABILITY; DYNAMICS; REVERBERATION; CIRCUIT; TASKS; CAT;

D O I：

10.1016/j.neunet.2010.07.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a model of long-range cortical communication by means of a global neuronal workspace similar to that proposed by Dehaene and Naccache (2001) The model resembles that of Shanahan (2008) which was based on reverberating circuits of one-to-one connections but uses a stochastic wiring regime in place of the highly regular scheme used there The paper offers a systematic analysis of the influence of certain parameters on the dynamics of networks built according to this regime Armed with a fuller understanding of the origins of the observed behaviour in the model the qualitative behaviour of the previous model is replicated and further unexplored choices are examined for ongoing work (C) 2010 Elsevier Ltd All rights reserved

引用

页码：1139 / 1154

页数：16

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