Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision

Yongduan Song, Jennie Si, Sonya Coleman, Dermot Kerr

Research output: Contribution to journalEditorialpeer-review

1 Citation (Scopus)


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 control to engineering system sensing and control algorithms, as well as applications and case studies of biologically inspired systems. This editorial note provides a brief overview of the accepted articles.
Original languageEnglish
Pages (from-to)1820-1824
Number of pages5
JournalIEEE Transactions on Neural Networks and Learning Systems
Issue number5
Publication statusPublished (in print/issue) - 2 May 2022

Bibliographical note

Publisher Copyright:
© 2012 IEEE.


  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Software


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