Brain Informatics and Health

8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015. Proceedings

AvYike Guo,Karl Friston

Häftad, Engelska, 2015

Del 9250 i serien Lecture Notes in Computer Science

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Beskrivning

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 were 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.

Produktinformation

Utgivningsdatum:2015-09-03
Mått:155 x 235 x 26 mm
Vikt:715 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:459
Upplaga:15001
Förlag:Springer International Publishing AG
ISBN:9783319233437

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Människa – datorinteraktion inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

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-channelNeural 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.

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