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''Enter your description here. Maybe just paste in the call for papers.'' ==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. ==Submissions== ==Important Dates== ==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
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