Neural Interfaces
Bridging Cognitive Neuroscience and Artificial Intelligence
1st Edition
Will be published approx. on 15. September 2026
Book
Hardback
352 pages
978-1-394-33181-9 (ISBN)
Description
Interdisciplinary resource on the current state of brain-computer interfaces (BCIs), covering research, technology, ethics, and practical applications
Neural Interfaces offers key insights from an interdisciplinary angle into cognitive neuroscience and artificial intelligence to create sophisticated brain-computer interfaces (BCIs). This book explores and informs on how fundamental cognitive neuroscience knowledge takes shape into real-world BCI applications, leading readers through the entire process from experimentation to implementation. It also delves into the technical understanding of mobile experimentation, machine learning, and other tools and technologies that are accelerating the development of BCIs.
Readers will find essential information on the historical evolution of BCIs, exploring the first neural experiments roughly 100 years ago all the way to today's cutting-edge advancements and key milestones that have shaped the field. The book also details different BCI technologies publicly available today and their effectiveness and provides case studies of applications in fields of medical, entertainment, and industry that show how BCIs are being used to restore lost functions from neuroprosthetics to rehabilitation, diagnose mental disorders, create new gaming and personalization experiences, and augment psychological functions used to improve workplace performance.
Neural Interfaces discusses sample topics including:
Neuroethics, covering the current societal perception of BCIs as well as key considerations as the technology evolves in complexity and scope
How AI and machine learning are enhancing the capabilities of BCIs, such as thorough decoding neural signals and translating them into actionable commands
Experimental setups and tools crucial for BCI research, and how to turn research into real-world applications
Integration of multiple sensory inputs to enhance BCI functionality
Innovations and challenges related to data, technology, ethics, and design that will shape the future of BCI research
Neural Interfaces is an essential up-to-date resource on the subject for engineers, neuroscientists, and entrepreneurs, as well as all individuals interested in this transformative technology, regardless of background.
Neural Interfaces offers key insights from an interdisciplinary angle into cognitive neuroscience and artificial intelligence to create sophisticated brain-computer interfaces (BCIs). This book explores and informs on how fundamental cognitive neuroscience knowledge takes shape into real-world BCI applications, leading readers through the entire process from experimentation to implementation. It also delves into the technical understanding of mobile experimentation, machine learning, and other tools and technologies that are accelerating the development of BCIs.
Readers will find essential information on the historical evolution of BCIs, exploring the first neural experiments roughly 100 years ago all the way to today's cutting-edge advancements and key milestones that have shaped the field. The book also details different BCI technologies publicly available today and their effectiveness and provides case studies of applications in fields of medical, entertainment, and industry that show how BCIs are being used to restore lost functions from neuroprosthetics to rehabilitation, diagnose mental disorders, create new gaming and personalization experiences, and augment psychological functions used to improve workplace performance.
Neural Interfaces discusses sample topics including:
Neuroethics, covering the current societal perception of BCIs as well as key considerations as the technology evolves in complexity and scope
How AI and machine learning are enhancing the capabilities of BCIs, such as thorough decoding neural signals and translating them into actionable commands
Experimental setups and tools crucial for BCI research, and how to turn research into real-world applications
Integration of multiple sensory inputs to enhance BCI functionality
Innovations and challenges related to data, technology, ethics, and design that will shape the future of BCI research
Neural Interfaces is an essential up-to-date resource on the subject for engineers, neuroscientists, and entrepreneurs, as well as all individuals interested in this transformative technology, regardless of background.
More details
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
ISBN-13
978-1-394-33181-9 (9781394331819)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Avinash Singh, Senior Lecturer, School of Computer Science and Australian AI Institute, Faculty of Engineering and Information Technology, University of Technology Sydney.
Content
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
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