The 2016 International Conference on Brain Informatics & Health (BIH'16)

October 13, 2016 - October 16, 2016

Omaha, Nebraska, USA

Call For Papers

The BIH series provides a premier forum that brings together researchers and practitioners from neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Brain Informatics. BIH'16 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, with a strong emphasis on emerging trends of big data analysis and management technology for brain research, behaviour learning, and real-world applications of brain science in human health and well-being.

Topics of Interest

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.

IMPORTANT DATES

Submission deadline: August 11, 2016

Notification Due:August 15, 2016

Final Version Due:August 22, 2016

User Name : sidra
Posted 30-07-2016 on 11:34:25 AEDT

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