Conference Information
BI 2020: International Conference on Brain Informatics
Submission Date:
2020-06-01 Extended
Notification Date:
Conference Date:
Padova, Italy
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Call For Papers
Track 1: Cognitive and Computational Foundations of Brain Science

    Brain dynamics
    Structural and functional connectome
    Neural foundations of intelligent behavior
    Learning mechanisms (e.g., stability, personalized user/student models)
    Multi-perception mechanisms and visual, auditory, and tactile information processing
    Reasoning mechanisms (e.g., principles of deductive/inductive reasoning, common-sense reasoning, decision making, and problem solving)
    Neural basis of decision-making
    Models of executive function & prefrontal cortex
    Higher-order cognitive functions and their relationships
    Adaptation and self-organization
    Digital, data, and computational brain
    Methodologies for systematic design of cognitive experiments
    Neuroeconomics and neuromarketing
    Neuroeducation, neurolinguistics, and neuroinstrumentation

Track 2: Investigations of Human Information Processing Systems (HIPS)

    Bayesian models of the brain, and causal modeling of behaviour for neurology
    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
    HIPS complex systems
    Investigating spatiotemporal characteristics and flow in HIPS and the related neural structures and neurobiological process
    Modeling brain information processing mechanisms (e.g., information organization, neuro mechanism, mathematical, cognitive and computational models of HIPS)
    Social brain communication

Track 3: Brain Big Data Analytics, Curation and Management

    Big-neuron, neuron morphology and neuron reconstruction
    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 behavioral 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 analyzing spatiotemporal structure, characteristics and flows in HIPS and neural data
    Statistical analysis and pattern recognition in neuroimaging
    Cloud and semantic brain data services

Track 4: Informatics Paradigms for Brain and Mental Health Research

    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
    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
    Computational approaches to rehabilitation
    Computational intelligence methodologies for mental healthcare
    Computational psychiatry
    Brain repair models and stimulations
    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)

Track 5: Brain-Machine Intelligence and Brain-Inspired Computing

    Brain-inspired artificial intelligence
    Brain-inspired cognitive computation and modeling
    Brain-inspired artificial neural networks
    Brain-inspired information processing
    Brain-inspired evolutionary systems
    Brain-inspired machine learning
    Brain-inspired / cognitive neuro robotics
    Brain-inspired / neuromorphic computing
    Affective computing and applications
    Brain-computer interaction and brain-robot interaction
    Brains connecting to the internet of things
Last updated by Dou Sun in 2020-05-06
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