Brain Informatics and Health 8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Guo, Yike (Επιμελητής έκδοσης), Friston, Karl (Επιμελητής έκδοσης), Aldo, Faisal (Επιμελητής έκδοσης), Hill, Sean (Επιμελητής έκδοσης), Peng, Hanchuan (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Lecture Notes in Computer Science, 9250
• Θέματα: Computer science.; Information storage and retrieval.; User interfaces (Computer systems).; Artificial intelligence.; Image processing.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Information Systems Applications (incl. Internet).; Image Processing and Computer Vision.; User Interfaces and Human Computer Interaction.; Information Storage and Retrieval.

 This book constitutes the proceedings of the International Conference on Brain Informatics and Health, BIH 2015, held in London, UK in August/ September 2015.  The 42 full papers presented there carefully reviewed and selected from 82 submissions. Following the success of past conferences in this series, BIH 2015 has a strong emphasis on emerging trends of big data analysis and management technology for brain research, behavior learning, and real-world applications of brain science in human health and wellbeing. 

 Thinking and Perception-centric Investigations of Human Information Processing System (HIPS)and Computational Foundations of Brain Science -- Eye Tracking and EEG Features for Salient Web Object Identification -- Cognitive Task Classification from Wireless EEG -- Identifying the Computational Parameters Gone Awry in Psychosis -- Morphologic and Functional Connectivity Alterations in Patients with Major Depressive Disorder -- A Cognitive Model for Understanding Chinese Character -- Information Technologies for Curating, Mining, Managing and Using Big Brain Data Identification of Gender Specific Biomarkers for Alzheimer's Disease -- BRAINtrinsic: A Virtual Reality-Compatible Tool for Exploring Intrinsic Topologies of the Human Brain Connectome -- Sleep Stages Classification from Electroencephalographic Signals based on Unsupervised Feature Space Clustering -- Identifying Distinguishing Factors in Predicting Brain Activities - an Inclusive Machine Learning Approach -- Classification Analysis of Chronological Age Using Brief Resting Electroencephalographic (EEG) Recordings -- Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder -- Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations and for the Alzheimer's Disease Neuroimaging Initiative -- Minimum Partial Correlation: An Accurate and Parameter-free Measure of Functional Connectivity in fMRI -- A Model-Guided String-Based Approach to White Matter Fiber-Bundles Extraction -- Towards the Identification of Disease Signatures -- The Unsupervised Hierarchical Convolutional Sparse Auto-encoder for Neuroimaging Data Classification -- A Personalized Method of Literature Recommendation Based on Brain Informatics Provenances -- Brain-inspired Technologies, Systems and Applications -- Measuring Emotion Regulation with Single Dry Electrode Brain Computer Interface -- Myndplay: Measuring Attention Regulation with Single Dry Electrode Brain Computer Interface -- Optimizing Performance of Non-Expert Users in Brain-Computer Interaction by Means of an Adaptive Performance Engine -- Movement Intention Detection from Autocorrelation of EEG for BCI -- Time-varying Parametric Modeling of ECoG for Syllable Decoding -- Classification Accuracy Improvement of Chromatic and High-frequency Code-modulated Visual Evoked Potential-based BCI -- Investigation of Familiarity Effects in Music-Emotion Recognition Based on EEG -- A Neural Network Based Model for Predicting Psychological Conditions following a mild Traumatic Brain Injury -- Application to Women's Healthcare of Health Management System using a Tablet Phone -- Special Session on Neuroimaging Data Analysis and Applications -- GN-SCCA: GraphNet based Sparse Canonical Correlation Analysis for Brain Imaging Genetics -- B-spline Registration of Neuroimaging Modalities with Map-reduce Framework -- Integrated Visualization of Human Brain Connectome Data -- Sleep Stages Classification Using Neural Networks with Multi-channel Neural Data -- Unveil the Switching Deficits in Depression by the Dwelling Time in Dominant Community of Resting-State Networks -- Visual Object Categorization from Whole to Fine: Evidence from ERP -- Special Session on Interactive Machine Learning with the human-in-the-loop: Cognitive Computing at its best -- Joint Decision Making on Two Perception Systems using Diversity Rank-Score Function Graph -- Interactive and Iterative Annotation for Biomedical Entity Recognition -- Analysis of Patient Groups and Immunization Results Based on Subspace Clustering -- Witnesses for the Doctor in the Loop -- Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing -- Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing -- Symposium on Computational Psychophysiology -- The Research of Depression Based on Power Spectrum -- Modelling Uncertainty in Health Care Systems -- Brief Discussion on Current Computerized Cognitive Behavioral Therapy -- Symposium on Modelling Brain Information -- A Middleware for Integrating Cognitive Architectures -- Four Ways to Evaluate Arguments According to Agent Engagement.