Brain Technology in Augmented Cognition: Current and Future Trends informs engineers interested in human-computer interaction about the current state of augmented cognition. Its scope includes recent advances in electroencephalography (EEG), neural network, and brain-computer interface (BCI) brain technologies.
Brain Technology in Augmented Cognition: Current and Future Trends informs engineers interested in human-computer interaction about the current state of augmented cognition. Its scope includes recent advances in electroencephalography (EEG), neural network, and brain-computer interface (BCI) brain technologies.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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Autorenporträt
Suraj Sood is an augmented cognition researcher with a decade of experience in human-computer interaction. He completed his Bachelor of Arts at the University of California, Santa Barbara, majoring in Psychology and Philosophy, and his Doctorate of Philosophy at the University of West Georgia in Psychology: Consciousness & Society. He has served as a session chair for Human-Computer Interaction International Conference's Augmented Cognition in 2019, 2021, and 2022. He has been on Augmented Cognition's Program Board since 2019. His research in HCI focuses on theory-building and simulation, drawing from psychology, philosophy, and computer science.
Inhaltsangabe
Preface About the Author Acknowledgments Introduction Chapter 1: How Can Brain Technology Augment Cognition? 1.1 Introduction 1.2 Brain Technologies and the Mind 1.3 Three Case Examples Chapter 2: Electroencephalography (EEG) 2.1 From Neural Activity to Augmented Cognition 2.2 Measuring Individual Cognitive Differences 2.3 EEG in General Chapter 3: Neural Network (NN) 3.1 Brain Simulation to Augment Cognition 3.2 Artificial versus Biological Neural Networks (ANNs vs. BNNs) 3.3 EEG and Deep Convolutional NNs (DCNNs) 3.4 Related Topics Chapter 4: Brain-Computer Interface (BCI) 4.1 A Whole-body Approach to Augmented Cognition 4.2 Augmented Embodied Cognition 4.3 From Brain to Body and Mind 4.4 Medical Hope (and Promise) Chapter 5: Exploring a Combinatory Approach 5.1 Synthesis (Theory and Technology) 5.2 Computational Neuroscience's "Augmented Mind-brain" 5.3 Augmented Brain, Mind, and Body Conclusion References Index
Preface About the Author Acknowledgments Introduction Chapter 1: How Can Brain Technology Augment Cognition? 1.1 Introduction 1.2 Brain Technologies and the Mind 1.3 Three Case Examples Chapter 2: Electroencephalography (EEG) 2.1 From Neural Activity to Augmented Cognition 2.2 Measuring Individual Cognitive Differences 2.3 EEG in General Chapter 3: Neural Network (NN) 3.1 Brain Simulation to Augment Cognition 3.2 Artificial versus Biological Neural Networks (ANNs vs. BNNs) 3.3 EEG and Deep Convolutional NNs (DCNNs) 3.4 Related Topics Chapter 4: Brain-Computer Interface (BCI) 4.1 A Whole-body Approach to Augmented Cognition 4.2 Augmented Embodied Cognition 4.3 From Brain to Body and Mind 4.4 Medical Hope (and Promise) Chapter 5: Exploring a Combinatory Approach 5.1 Synthesis (Theory and Technology) 5.2 Computational Neuroscience's "Augmented Mind-brain" 5.3 Augmented Brain, Mind, and Body Conclusion References Index
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