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000733763 020__ $$a9783319233444$$qelectronic book
000733763 020__ $$a3319233440$$qelectronic book
000733763 020__ $$z9783319233437
000733763 0247_ $$a10.1007/978-3-319-23344-4$$2doi
000733763 035__ $$aSP(OCoLC)ocn919254799
000733763 035__ $$aSP(OCoLC)919254799
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000733763 08204 $$a006.3/2$$223
000733763 1112_ $$aBIH (Conference)$$n(8th :$$d2015 :$$cLondon, England)
000733763 24510 $$aBrain Informatics and Health$$h[electronic resource] :$$b8th International Conference, BIH 2015, London, UK, August 30-September 2, 2015. Proceedings /$$cYike Guo, Karl Friston, Faisal Aldo, Sean Hill, Hanchuan Peng (eds.).
000733763 2463_ $$aBIH 2015
000733763 264_1 $$aCham :$$bSpringer,$$c2015.
000733763 300__ $$a1 online resource (xv, 459 pages) :$$billustrations.
000733763 336__ $$atext$$btxt$$2rdacontent
000733763 337__ $$acomputer$$bc$$2rdamedia
000733763 338__ $$aonline resource$$bcr$$2rdacarrier
000733763 4901_ $$aLecture notes in artificial intelligence,$$x0302-9743 ;$$v9250
000733763 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence
000733763 500__ $$aInternational conference proceedings.
000733763 500__ $$aIncludes author index.
000733763 5050_ $$aThinking 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.
000733763 506__ $$aAccess limited to authorized users.
000733763 520__ $$aThis book constitutes the proceedings of the International Conference on Brain Informatics and Health, BIH 2015, held in London, UK in August/ September 2015.℗ℓ The 42 full papers presented there carefully reviewed and selected from 82 submissions. Following the success of past conferences in this series, BIH 2015 has a strong emphasis on emerging trends of big data analysis and management technology for brain research, behavior learning, and real-world applications of brain science in human health and wellbeing.
000733763 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 27, 2015).
000733763 650_0 $$aNeural networks (Computer science)$$vCongresses.
000733763 650_0 $$aBrain$$xPhysiology$$vCongresses.
000733763 650_0 $$aComputer science$$vCongresses.
000733763 650_0 $$aHuman information processing$$vCongresses.
000733763 7001_ $$aGuo, Yike,$$eeditor.
000733763 7001_ $$aFriston, K. J.$$q(Karl J.),$$eeditor.
000733763 7001_ $$aAldo, Faisal,$$eeditor.
000733763 7001_ $$aHill, Sean,$$eeditor.
000733763 7001_ $$aPeng, Hanchuan,$$eeditor.
000733763 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence ;$$v9250.
000733763 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
000733763 852__ $$bebk
000733763 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-23344-4$$zOnline Access$$91397441.1
000733763 909CO $$ooai:library.usi.edu:733763$$pGLOBAL_SET
000733763 980__ $$aEBOOK
000733763 980__ $$aBIB
000733763 982__ $$aEbook
000733763 983__ $$aOnline
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