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Introduction
1/28/2026
Why I Dedicated This Book to 3 Distinguished Mentors in the Field
1/28/2026
Editorial Review
1/28/2026
Foreword
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Preface
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Chapter 1: My Personal Journey from Neurocomputing to Neurostrategy
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Chapter 2: Introduction to the Age of Neurocomputing and Neuroarchitectures
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Chapter 3: Brain-Inspired Computing - Scope, Audience, and Impact
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Chapter 4: Historical Evolution: From Classical Computing to Neuromorphic Systems
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Chapter 5: Nature-Inspired Computing Paradigms
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Chapter 6: Milestones and Turning Points: Foundational Papers and Projects
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Chapter 7: A Glimpse into the Key Innovators, Laboratories, and Research Hubs for Inspiration
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Chapter 8: Essential Terms and Concepts in Neurocomputing and Neuroarchitectures
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Chapter 9: Biological Neurons and Synapses: Microstructure and Function
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Chapter 10: Understanding Neural Coding: Biological Strategies and Silicon Translation
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Chapter 11: Synaptic Plasticity and Learning Mechanisms in Neurocomputing
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Chapter 12:Information Processing in Biological and Artificial Networks
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Chapter 13: Modeling Neural Information: Spiking, Rate, and Hybrid Coding
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Chapter 14: Understanding the Importance of Neural Learning Algorithms
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Chapter 15: The Nature of Artificial Neural Network Types and Structures
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Chapter 16: Understanding Key Network Topologies
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Chapter 17: An Introduction to Programmable Neurocomputing Architectures
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Chapter 18: Understanding Neural Architecture Search and Automated Model Design
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Chapter 19: Understanding the Algorithm-to-Architecture Workflow
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Chapter 20: What's Neuromorphic Hardware and Why Do We Need It?
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Chapter 21: Programming Neurocomputing Systems - From Hardware to Intelligent Applications
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Chapter 22: AI Acceleration Across the Edge
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Chapter 23: Connecting Brains and Intelligent Machines
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Chapter 24: Designing Sustainable Neurocomputing for Our Future
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Chapter 25: Trustworthy Neurocomputing for Our Future
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Chapter 26: From Laboratory Discovery to Global Neurocomputing Ecosystems
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Chapter 27: Brain Organoids, Reservoir Computing, and the Next Frontier of Neurocomputing
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Chapter 28: What’s NeuroOps and Why Does It Matter
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Chapter 29: Conclusions and Key Takeaways
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Chapter 30: Appendix Including a Comprehensive Literature Review for the Intellectual Evolution of Neurocomputing and Neuroarchitectures
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