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    1. Medicin
    2. Andra medicinska specialiteter
    3. Neurologi och klinisk neurofysiologi

    Neural Interfaces

    Bridging Cognitive Neuroscience and Artificial Intelligence

    AvAvinash Singh

    Inbunden, Engelska, 2026

    1 461 kr

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    E-bok

    1 358 kr

    E-bok

    1 358 kr

    Beskrivning

    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. This book 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 researchThis book is an essential up-to-date resource on the subject for engineers, neuroscentists, and entrepreneurs, as well as all individuals interested in this transformative technology, regardless of background.

    Produktinformation

    • Utgivningsdatum:2026-06-23
    • Mått:159 x 237 x 22 mm
    • Vikt:518 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:272
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781394331819

    Utforska kategorier

    • Neurologi och klinisk neurofysiologi inom Medicin
    • Biovetenskap inom Naturvetenskap och teknik
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    AVINASH SINGH, Senior Lecturer, School of Computer Science and Australian AI Institute, Faculty of Engineering and Information Technology, University of Technology Sydney.

    Innehållsförteckning

    • About the Author xviiPreface xixAcknowledgments xxiAcronyms xxiiiAbout the Companion Website xxixIntroduction xxxiBrain, Wires, and Waves xxxv1 Origins, Evolution, and Inspiration 11.1 Conceptual Foundations Before BCI 11.2 Scientific Milestones of the 20th Century 31.3 Key Historical Milestones in Acquisition and Methods 81.4 Summary 142 Cognitive Neuroscience Foundations 172.1 Brain Organization and Anatomy 182.2 The Brain in BCI: Structures and Signal Sources 212.3 Cognitive Functions in BCI 302.4 Neural Correlates: The "HOW" of Cognitive Decoding 342.5 Summary 353 Acquisition and Stimulation Technology 373.1 Invasive and Noninvasive Acquisition Technologies in BCI 373.2 Summary 534 Translational Brain–Computer Interfaces: Bridging Research to Practice 554.1 Clinical and Neuroscientific Foundations of Translational BCI 554.2 Real-world Deployment of BCI Systems 574.3 Bridging Theory and Application in Translational BCI 59x Contents4.4 Summary 685 Automated Signal Processing for Neural Interfaces 715.1 From Traditional to Automated Signal Processing 715.2 Preprocessing and Artifact Handling 725.3 Feature Extraction for Neural Interfaces 785.4 Multimodal Signal Processing Considerations 885.5 Software Ecosystem for Signal Processing in Brain–Computer Interface (BCIs) 895.6 Relevance to Real-world BCI Applications 935.7 Summary 946 Machine Learning and Generative AI for Neural Decoding 956.1 ML Methods for Neural Data Analysis 956.2 Applications of Generative AI in Neural Interfaces 1116.3 From Decoding to Intelligent Interaction 1166.4 Summary 1177 Innovative Environment and Tools 1197.1 Gamified Environment 1207.2 AR, VR, and MR Environment 1267.3 Take-home Experiments 1287.4 Summary 1348 Applications of Brain–Computer Interfaces 1358.1 Medical 1358.2 Entertainment 1408.3 Workplace 1448.4 Neural Interface Applications Beyond BCIs 1468.5 Summary 1489 Enhancing Human Capabilities with Neural Interfaces 1519.1 Speech and Mental Imagery in BCI 1519.2 Neuroadaptive BCI 1569.3 Natural BCI 1589.4 Multimodality and Multitasking in BCI 1619.5 Summary 16210 Neuroethics 16310.1 Responsible Technology Development 16310.2 Public and Social Perception of BCI Technology 16610.3 Identity, Agency, and Personhood 16710.4 Mental Privacy and Cognitive Liberty 16810.5 Neural Data Governance 16810.6 Commercialization and Corporate Power 16910.7 Neuroethical Guidelines 17010.8 Practical Implementation 17210.9 Examples 17210.10 Summary 17511 Challenges of Current Neural Interface Technology 17711.1 Data Acquisition and Stimulation Challenge 17711.2 Technological Challenge 18011.3 Ethical Challenge 18211.4 Design Challenge 18311.5 Standardization and Interoperability Challenge 18411.6 Reliability, Robustness, and Real-world Deployment Challenge 18511.7 Usability and Human Factors Challenge 18611.8 Calibration and Training Challenge 18611.9 Long-term Safety and Physiological Impact Challenge 18611.10 Psychological and Cognitive Load Challenge 187Contents xv11.11 Social Acceptance and Trust Challenge 18711.12 Summary 18812 Envisioning the Future of Brain–Computer Interfaces 18912.1 The Near Future: Practical Expectations for BCIs 19012.2 Foundational Milestones in BCI Technology 19212.3 Innovations Needed and Looking Ahead 19512.4 Beyond the Horizon: The Next 50 Years of BCI 19712.5 Summary 202References 203Index 217