Title
Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision
Abstract
The Special Issue aims at collecting new ideas and contributions at the frontier of bridging the gap between biological and engineering systems. Contributions include a wide range of related research topics, from neural computing to adaptive control and cooperative control, from autonomous decision systems to mathematical and computational models, and from neuropsychology-based decision and contro...
Year
DOI
Venue
2022
10.1109/TNNLS.2022.3161003
IEEE Transactions on Neural Networks and Learning Systems
DocType
Volume
Issue
Journal
33
5
ISSN
Citations 
PageRank 
2162-237X
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Yongduan Song141.40
Jennie Si274670.23
Sonya Coleman321636.84
Dermot Kerr400.34