About the Author Preface Acknowledgments Acronyms Introduction Poem: Brain, Wires, and Waves 1 Origins, Evolution and Inspiration 1.1 Conceptual Foundations Before BCI 1.2 Scientific Milestones of the 20th Century 1.3 Key historical milestones in Acquisition and Methods 1.4 Summary 2 Cognitive Neuroscience Foundations 25 2.1 Brain Organization and Anatomy 2.2 The Brain in BCI: Structures and Signal Sources 2.3 Cognitive Functions in BCI 2.

4 Neural Correlates: The "HOW" of Cognitive Decoding 2.5 Summary 3 Acquisition and Stimulation Technology 55 3.1 Invasive and Non-Invasive Acquisition Technologies in BCI 3.2 Summary 4 Translational Brain-Computer Interfacs: Bridging Research to Practice 4.1 Clinical and Neuroscientific Foundations of Translational BCI 4.2 Real-World Deployment of BCI Systems 4.3 Bridging Theory and Application in Translational BCI 4.4 Case Studies: Translational BCI in Practice 4.

5 Summary 5 Automated Signal Processing for Neural Interfaces 107 5.1 From Traditional to Automated Signal Processing 5.2 Preprocessing and Artifact Handling 5.3 Feature Extraction for Neural Interfaces 5.4 Multimodal Signal Processing Considerations 5.5 Software Ecosystem for Signal Processing in BCIs 5.6 Relevance to Real-World BCI Applications 5.7 Summary 6 Machine Learning and Generative AI for Neural Decoding 145 6.

1 Machine Learning Methods for Neural Data Analysis 6.2 Applications of Generative AI in Neural Interfaces 6.3 From Decoding to Intelligent Interaction 6.4 Summary 7 Innovative Environment and Tools 181 7.1 Gamified environment 7.2 Augmented, Virtual, and Mixed Reality Environment 7.3 Take-Home Experiments 7.4 Summary 8 Applications of Brain-Computer Interfaces 8.

1 Medical 8.2 Entertainment 8.3 Workplace 8.4 Neural Interface Applications Beyond BCIs 8.5 Summary 9 Enhancing Human Capabilities with Neural Interfaces 235 9.1 Speech and Mental Imagery in BCI 9.2 Neuroadaptive BCI 9.3 Natural BCI 9.

4 Multimodality and Multitasking in BCI 9.5 Summary 10 Neuroethics 255 10.1 Responsible Technology Development 10.2 Public and Social Perception of BCI Technology 10.3 Identity, Agency, and Personhood 10.4 Mental Privacy & Cognitive Liberty 10.5 Neural Data Governance 10.6 Commercialization and Corporate Power 10.

7 Neuroethical Guidelines 10.8 Practical Implementation 10.9 Examples 10.10 Summary 11 Challenges of Current Neural Interface Technology 275 11.1 Data Acquisition and Stimulation Challenge 11.2 Technological Challenge 11.3 Ethical Challenge 11.4 Design Challenge 11.

5 Standardization and Interoperability Challenge 11.6 Reliability, Robustness, and Real-World Deployment Challenge 11.7 Usability and Human Factors Challenge 11.8 Calibration and Training Challenge 11.9 Long-Term Safety and Physiological Impact Challenge 11.10 Psychological and Cognitive Load Challenge 11.11 Social Acceptance and Trust Challenge 11.12 Summary 12 Envisioning the Future of Brain-Computer Interfaces 295 12.

1 The Near Future: Practical Expectations for BCIs 12.2 Foundational Milestones in BCI Technology 12.3 Innovations Needed and Looking Ahead 12.4 Beyond the Horizon: The Next 50 Years of BCI 12.5 Summary Bibliography.