Human Brain and Artificial Intelligence: Second International Workshop, HBAI 2020, Held in Conjunction with IJCAI-PRICAI 2020, Yokohama, Japan, January 7, 2021, Revised Selected Papers

Author:   Yueming Wang
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Volume:   1369
ISBN:  

9789811612879


Pages:   163
Publication Date:   08 April 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Human Brain and Artificial Intelligence: Second International Workshop, HBAI 2020, Held in Conjunction with IJCAI-PRICAI 2020, Yokohama, Japan, January 7, 2021, Revised Selected Papers


Overview

This book constitutes the refereed proceedings of the Second International Workshop on Human Brain and Artificial Intelligence, HBAI 2020, held in conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic HBAI 2020 was held in  the year 2021 and transferred into virtual format.   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.

Full Product Details

Author:   Yueming Wang
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Volume:   1369
Weight:   0.454kg
ISBN:  

9789811612879


ISBN 10:   9811612870
Pages:   163
Publication Date:   08 April 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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