Bio Inspired Computing: Fundamentals and Applications for Biological Inspiration in the Digital World

The subject of research known as bio-inspired computing, which is short for biologically inspired computing, is one that focuses on finding solutions to issues in computer science by employing biological models. Connectionism, emergent behavior, and emergence are all related to this concept. Within the field of computer science, artificial intelligence and machine learning are related to the concept of bio-inspired computing. The field of natural computation includes a significant subfield known as bio-inspired computing.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Bio-inspired computing

Chapter 2: Connectionism

Chapter 3: Evolutionary computation

Chapter 4: Computational neuroscience

Chapter 5: Neuromorphic engineering

Chapter 6: Cognitive architecture

Chapter 7: Neural network

Chapter 8: Artificial brain

Chapter 9: Computational neurogenetic modeling

Chapter 10: Spiking neural network

(II) Answering the public top questions about bio inspired computing.

(III) Real world examples for the usage of bio inspired computing in many fields.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of bio inspired computing.

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