Emergent neural computational architectures based on neuroscience
2.3 hrs read
Rate this book:
About This Book
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
Buy This Book
As an Amazon Associate and Bookshop.org affiliate, BookOrb earns from qualifying purchases.
Write a Review
Sign in to write a review.
More by Stefan Wermter
A hybrid connectionist approac
A hybrid connectionist approach for a scanning understanding of natural language phrases
Artificial Neural Networks and
Artificial Neural Networks and Machine Learning - ICANN 2020
Artificial Neural Networks and
Artificial Neural Networks and Machine Learning - ICANN 2021
Artificial Neural Networks and Machine Learning -- ICANN 2014
Biomimetic Neural Learning for Intelligent Robots
Cognitive Systems and Information Processing