An embodied account of serial order: How instabilities drive sequence generation

• Published in: Neural networks Vol. 23; no. 10; pp. 1164 - 1179
• Main Authors: Sandamirskaya, Yulia, Schöner, Gregor
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.12.2010; Elsevier
• Subjects: Applied sciences; Artificial intelligence; Attractors and instabilities; Cognition - physiology; Computer science; control theory; systems; Connectionism. Neural networks; Dynamic Field Theory; Embodiment; Exact sciences and technology; Humans; Learning - physiology; Nerve Net - physiology; Neural dynamics; Neural Networks (Computer); Sequence generation; Sequence generation; Attractors and instabilities; Dynamic Field Theory; Embodiment; Neural dynamics; Bifurcation; Cognition; Duration; Neural network; Distributed system; Attractor; Robotics; Cognitive theory; Sequencing

Learning and generating serially ordered sequences of actions is a core component of cognition both in organisms and in artificial cognitive systems. When these systems are embodied and situated in partially unknown environments, specific constraints arise for any neural mechanism of sequence genera...