BIH 2016

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Topics
Track 1: Investigations of Human Information Processing Systems (HIPS) and Computational Foundations of Brain Science
 * Adaptation and self-organization;
 * Bayesian models of the brain, and causal modeling of behaviour for neurology;
 * Brain dynamics and functional/resting/structural networks;
 * Cognitive architectures and their relations to fMRI/EEG/MEG;
 * Computational mechanisms of learning and memory;
 * Computational models of sensory-motor control;
 * Conscious mental functions and subconscious information processing;
 * Emotion, heuristic search, information granularity, and autonomy related issues in reasoning and problem solving;
 * Higher-order cognitive functions and their relationships;
 * HIPS complex systems;
 * Investigating spatiotemporal characteristics and flow in HIPS and the related neural structures and neurobiological process;
 * Learning mechanisms (e.g., stability, personalized user/student models);
 * Methodologies for systematic design of cognitive experiments;
 * Models of executive function & prefrontal cortex;
 * Modeling brain information processing mechanisms (e.g., information organization, neuromechanism, mathematical, cognitive and computational models of HIPS);
 * Multi-perception mechanisms and visual, auditory, and tactile information processing;
 * Neural basis of decision-making;
 * Neural foundations of intelligent behavior;
 * Reasoning mechanisms (e.g., principles of deductive/inductive reasoning, common-sense reasoning, decision making, and problem solving);
 * Social brain communication.

Track 2: Information Technologies for Curating, Mining and Using Brain Big Data
 * Brain data collection, pre-processing, management, and analysis methodologies;
 * Brain connectome, functional connectivity, and multi-level brain networks;
 * Brain data grids and brain research support services;
 * Brain informatics provenances;
 * Brain mapping and visualization;
 * Cyber-individuals and individual differences;
 * Data brain modeling and formal conceptual models of brain data;
 * Databasing the brain, curating big data, and constructing brain data centers;
 * Development of data-driven markers of diseases, and behavioural biomarkers of neurological diseases;
 * fMRI and PET imaging registration and analysis;
 * Information technologies for simulating brain data;
 * Integrating multiple forms of brain big data obtained from atomic and molecular levels to the entire brain;
 * Knowledge representation and discovery in neuroimaging;
 * Large scale models and simulation of brains;
 * Machine learning algorithms for brain data analysis;
 * Measuring scale thresholds of brain big data;
 * Multi-aspect analysis in fMRI/DTI/EEG/ERP/MEG/PET/Eye-tracking data;
 * Multimedia brain data mining and reasoning;
 * Multimodal and combinatorial fusion for brain informatics;
 * Optogenetics and in-vivo cell imaging analytics;
 * Real-time fMRI and neurofeedback;
 * Remote neurological assessment;
 * Semantic technology for brain data integration;
 * Simulating and analysing spatiotemporal structure, characteristics and flows in HIPS and neural data;
 * Statistical analysis and pattern recognition in neuroimaging.

Track 3: Brain-Inspired Technologies, Systems and Applications
 * Affective computing and applications;
 * Brain/Cognition inspired computing and artificial systems;
 * Brain-computer interfaces and brain-robot interfaces;
 * Brains connecting to the Internet of Things;
 * Brain repair models and simulations;
 * Clinical diagnosis and pathology of brain and mind/mental-related diseases (e.g., mild cognitive impairment, alzheimers, dementia & neuro-degeneration, depression, epilepsy, autism, Parkinson's disease, and cerebral palsy);
 * Cloud and semantic brain data services;
 * Cognitive and decision support;
 * Computational approaches to rehabilitation;
 * Computational intelligence methodologies for mental healthcare;
 * Computational psychiatry;
 * Digital, data, and computational brain;
 * e-Science, e-Health, and e-Medicine;
 * Mental healthcare knowledge abstraction, classification, representation, and summarization;
 * Mental healthcare knowledge computerization, execution, inference, and management;
 * Mental health risk evaluation and modeling;
 * Neuro/Emotional robotics, computer vision and intelligent robotic networks;
 * Neuroeconomics and neuromarketing;
 * Neuroeducation, neurolinguistics, and neuroinstrumentation;
 * New cognitive and computational models of intelligent systems;
 * Non-verbal communication;
 * Personal, wearable, ubiquitous, micro and nano devices for mental healthcare;
 * Remote neurological assessment;
 * Social networks, social media, and e-learning for spreading mental health awareness;
 * WaaS (Wisdom as a Service) and active services for mental healthcare.

Committees

 * Co-Organizers
 * General Co-Chairs
 * has general chair::some person, some affiliation, country


 * PC Co-Chairs
 * has program chair::some person, some affiliation, country


 * Workshop Chair
 * has workshop chair::some person, some affiliation, country


 * Panel Chair
 * has OC member::some person, some affiliation, country


 * Seminars Chair
 * has tutorial chair::some person, some affiliation, country


 * Demonstration Co-Chairs
 * has demo chair::some person, some affiliation, country
 * has demo chair::some person, some affiliation, country


 * Local Organizing Co-Chairs
 * has local chair::some person, some affiliation, country


 * Program Committee Members
 * has PC member::some person, some affiliation, country