Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model
IEEE Transactions on Cognitive and Developmental Systems(2021)
Abstract
Many of our sequential activities require that behaviors must be both precisely timed and put in the proper order. This article presents a neurocomputational model based on the theoretical framework of dynamic neural fields that supports the rapid learning and flexible adaptation of coupled order–timing representations of sequential events. A key assumption is that elapsed time is encoded in the m...
MoreTranslated text
Key words
Sociology,Statistics,Timing,Robots,Color,Adaptation models,Computational modeling
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined