Bio-inspired Neurocomputing

In Bio-inspired Neurocomputing, readers are introduced to both the theoretical and practical dimensions of biomedical neural computing. The book explores brain-inspired computing and bio-computational models, delving into artificial intelligence (AI) and machine learning (ML) approaches within the realm of biomedical data analytics. By examining both qualitative and quantitative features, the authors provide a comprehensive overview of the field.

The authors focus on the latest technological advancements in neuro-computational intelligence as applied to biological processes. The primary emphasis is on biologically inspired neuro-computational techniques. Readers will find detailed discussions on various computational applications, methodologies, and the emerging challenges faced in bio-soft computing and bio-signal processing. This thorough examination helps to bridge the gap between foundational concepts and current research needs.

Moreover, Bio-inspired Neurocomputing highlights the strategic computational approaches necessary to tackle ongoing challenges in bio-inspired models and algorithms. The meticulous care taken by the authors in describing these concepts makes this book a valuable resource for students, researchers, and practitioners who are keen on understanding the rapidly evolving landscape of neurocomputing and biomedical data analytics.