1st Edition
Brain Technology in Augmented Cognition Current and Future Trends
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
Biography
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.
