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 scopeHow AI and machine learning are enhancing the capabilities of BCIs, such as thorough decoding neural signals and translating them into actionable commandsExperimental setups and tools crucial for BCI research, and how to turn research into real-world applicationsIntegration of multiple sensory inputs to enhance BCI functionalityInnovations and challenges related to data, technology, ethics, and design that will shape the future of BCI researchNeural 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.
Avinash Singh, Senior Lecturer, School of Computer Science and Australian AI Institute, Faculty of Engineering and Information Technology, University of Technology Sydney.
About the AuthorPrefaceAcknowledgmentsAcronymsIntroductionPoem: Brain, Wires, and Waves1 Origins, Evolution and Inspiration1.1 Conceptual Foundations Before BCI1.2 Scientific Milestones of the 20th Century1.3 Key historical milestones in Acquisition and Methods1.4 Summary2 Cognitive Neuroscience Foundations 252.1 Brain Organization and Anatomy2.2 The Brain in BCI: Structures and Signal Sources2.3 Cognitive Functions in BCI2.4 Neural Correlates: The "HOW" of Cognitive Decoding2.5 Summary3 Acquisition and Stimulation Technology 553.1 Invasive and Non-Invasive Acquisition Technologies in BCI3.2 Summary4 Translational Brain-Computer Interfacs: Bridging Research to Practice4.1 Clinical and Neuroscientific Foundations of Translational BCI4.2 Real-World Deployment of BCI Systems4.3 Bridging Theory and Application in Translational BCI4.4 Case Studies: Translational BCI in Practice4.5 Summary5 Automated Signal Processing for Neural Interfaces 1075.1 From Traditional to Automated Signal Processing5.2 Preprocessing and Artifact Handling5.3 Feature Extraction for Neural Interfaces5.4 Multimodal Signal Processing Considerations5.5 Software Ecosystem for Signal Processing in BCIs5.6 Relevance to Real-World BCI Applications5.7 Summary6 Machine Learning and Generative AI for Neural Decoding 1456.1 Machine Learning Methods for Neural Data Analysis6.2 Applications of Generative AI in Neural Interfaces6.3 From Decoding to Intelligent Interaction6.4 Summary7 Innovative Environment and Tools 1817.1 Gamified environment7.2 Augmented, Virtual, and Mixed Reality Environment7.3 Take-Home Experiments7.4 Summary8 Applications of Brain-Computer Interfaces8.1 Medical8.2 Entertainment8.3 Workplace8.4 Neural Interface Applications Beyond BCIs8.5 Summary9 Enhancing Human Capabilities with Neural Interfaces 2359.1 Speech and Mental Imagery in BCI9.2 Neuroadaptive BCI9.3 Natural BCI9.4 Multimodality and Multitasking in BCI9.5 Summary10 Neuroethics 25510.1 Responsible Technology Development10.2 Public and Social Perception of BCI Technology10.3 Identity, Agency, and Personhood10.4 Mental Privacy & Cognitive Liberty10.5 Neural Data Governance10.6 Commercialization and Corporate Power10.7 Neuroethical Guidelines10.8 Practical Implementation10.9 Examples10.10 Summary11 Challenges of Current Neural Interface Technology 27511.1 Data Acquisition and Stimulation Challenge11.2 Technological Challenge11.3 Ethical Challenge11.4 Design Challenge11.5 Standardization and Interoperability Challenge11.6 Reliability, Robustness, and Real-World Deployment Challenge11.7 Usability and Human Factors Challenge11.8 Calibration and Training Challenge11.9 Long-Term Safety and Physiological Impact Challenge11.10 Psychological and Cognitive Load Challenge11.11 Social Acceptance and Trust Challenge11.12 Summary12 Envisioning the Future of Brain–Computer Interfaces 29512.1 The Near Future: Practical Expectations for BCIs12.2 Foundational Milestones in BCI Technology12.3 Innovations Needed and Looking Ahead12.4 Beyond the Horizon: The Next 50 Years of BCI12.5 SummaryBibliography