Human Brain and Artificial Intelligence
Springer Verlag, Singapore
978-981-16-1287-9 (ISBN)
The 11 full papers presented were carefully reviewed and selected from 12 submissions. The papers present most recent research in the fields of brain-inspired computing, brain-machine interfaces, computational neuroscience, brain-related health, neuroimaging, cognition and behavior, learning, and memory, neuron modulation, and closed-loop brain stimulation.
ARLIF: A exible and efficient recurrent neuronal model for sequential tasks.- Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.- Machines Develop Consciousness through Autonomous Programming for General Purposes (APFGP).- Incorporating Task-related Information in Dimensionality Reduction of Neural Population using Autoencoders.- Effective and Efficient ROI-wise Visual Encoding using an End-to-end CNN Regression Model and Selective Optimization.- Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective.- Brain-Controlled Robotic Arm Based on Adaptive FBCCA.- Automatic Sleep Spindle Detection and Analysis in Patients with Sleep Disorders.- Diagnosing Parkinsons Disease Using Multimodal Physiological Signals.- Emotion recognition using multi-core tensor learning and multimodal physiological signal.- A review of transfer learning for EEG-based drivingfatigue detection.
Erscheinungsdatum | 16.04.2021 |
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Reihe/Serie | Communications in Computer and Information Science ; 1369 |
Zusatzinfo | 47 Illustrations, color; 9 Illustrations, black and white; VIII, 163 p. 56 illus., 47 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Computer Science • conference proceedings • Informatics • Research |
ISBN-10 | 981-16-1287-0 / 9811612870 |
ISBN-13 | 978-981-16-1287-9 / 9789811612879 |
Zustand | Neuware |
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