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Produktbild: Neural Interfaces: Bridging Cognitive Neuroscience and Artificial Intelligence for Brain-Computer In teraction

Neural Interfaces: Bridging Cognitive Neuroscience and Artificial Intelligence for Brain-Computer In teraction Bridging Cognitive Neuroscience and Artificial Intelligence

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

23.06.2026

Verlag

Wiley

Seitenzahl

272

Maße (L/B/H)

23,7/15,8/2,1 cm

Gewicht

525 g

Sprache

Englisch

ISBN

978-1-394-33181-9

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

23.06.2026

Verlag

Wiley

Seitenzahl

272

Maße (L/B/H)

23,7/15,8/2,1 cm

Gewicht

525 g

Sprache

Englisch

ISBN

978-1-394-33181-9

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Neural Interfaces: Bridging Cognitive Neuroscience and Artificial Intelligence for Brain-Computer In teraction

  • About the Author xvii
    Preface xix
    Acknowledgments xxi
    Acronyms xxiii
    About the Companion Website xxix
    Introduction xxxi
    Brain, Wires, and Waves xxxv

    1 Origins, Evolution, and Inspiration 1
    1.1 Conceptual Foundations Before BCI 1
    1.2 Scientific Milestones of the 20th Century 3
    1.3 Key Historical Milestones in Acquisition and Methods 8
    1.4 Summary 14

    2 Cognitive Neuroscience Foundations 17
    2.1 Brain Organization and Anatomy 18
    2.2 The Brain in BCI: Structures and Signal Sources 21
    2.3 Cognitive Functions in BCI 30
    2.4 Neural Correlates: The "HOW" of Cognitive Decoding 34
    2.5 Summary 35

    3 Acquisition and Stimulation Technology 37
    3.1 Invasive and Noninvasive Acquisition Technologies in BCI 37
    3.2 Summary 53

    4 Translational Brain-Computer Interfaces: Bridging Research to Practice 55
    4.1 Clinical and Neuroscientific Foundations of Translational BCI 55
    4.2 Real-world Deployment of BCI Systems 57
    4.3 Bridging Theory and Application in Translational BCI 59x Contents
    4.4 Summary 68

    5 Automated Signal Processing for Neural Interfaces 71
    5.1 From Traditional to Automated Signal Processing 71
    5.2 Preprocessing and Artifact Handling 72
    5.3 Feature Extraction for Neural Interfaces 78
    5.4 Multimodal Signal Processing Considerations 88
    5.5 Software Ecosystem for Signal Processing in Brain-Computer Interface (BCIs) 89
    5.6 Relevance to Real-world BCI Applications 93
    5.7 Summary 94

    6 Machine Learning and Generative AI for Neural Decoding 95
    6.1 ML Methods for Neural Data Analysis 95
    6.2 Applications of Generative AI in Neural Interfaces 111
    6.3 From Decoding to Intelligent Interaction 116
    6.4 Summary 117

    7 Innovative Environment and Tools 119
    7.1 Gamified Environment 120
    7.2 AR, VR, and MR Environment 126
    7.3 Take-home Experiments 128
    7.4 Summary 134

    8 Applications of Brain-Computer Interfaces 135
    8.1 Medical 135
    8.2 Entertainment 140
    8.3 Workplace 144
    8.4 Neural Interface Applications Beyond BCIs 146
    8.5 Summary 148

    9 Enhancing Human Capabilities with Neural Interfaces 151
    9.1 Speech and Mental Imagery in BCI 151
    9.2 Neuroadaptive BCI 156
    9.3 Natural BCI 158
    9.4 Multimodality and Multitasking in BCI 161
    9.5 Summary 162

    10 Neuroethics 163
    10.1 Responsible Technology Development 163
    10.2 Public and Social Perception of BCI Technology 166
    10.3 Identity, Agency, and Personhood 167
    10.4 Mental Privacy and Cognitive Liberty 168
    10.5 Neural Data Governance 168
    10.6 Commercialization and Corporate Power 169
    10.7 Neuroethical Guidelines 170
    10.8 Practical Implementation 172
    10.9 Examples 172
    10.10 Summary 175

    11 Challenges of Current Neural Interface Technology 177
    11.1 Data Acquisition and Stimulation Challenge 177
    11.2 Technological Challenge 180
    11.3 Ethical Challenge 182
    11.4 Design Challenge 183
    11.5 Standardization and Interoperability Challenge 184
    11.6 Reliability, Robustness, and Real-world Deployment Challenge 185
    11.7 Usability and Human Factors Challenge 186
    11.8 Calibration and Training Challenge 186
    11.9 Long-term Safety and Physiological Impact Challenge 186
    11.10 Psychological and Cognitive Load Challenge 187Contents xv
    11.11 Social Acceptance and Trust Challenge 187
    11.12 Summary 188

    12 Envisioning the Future of Brain-Computer Interfaces 189
    12.1 The Near Future: Practical Expectations for BCIs 190
    12.2 Foundational Milestones in BCI Technology 192
    12.3 Innovations Needed and Looking Ahead 195
    12.4 Beyond the Horizon: The Next 50 Years of BCI 197
    12.5 Summary 202

    References 203
    Index 217