Event:BIH 2016

The document "BIH 2016" was published on "2022-10-19T12:59:51" on the website "ConfIDent" under the URL https://confident-conference.org/index.php/Event:BIH 2016.

The document "BIH 2016" describes an event in the sense of a conference.

The document "BIH 2016" contains information about the event "BIH 2016" with start date "2016/10/13" and end date "2016/10/16".

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Deadlines

2016-05-10

10 May 2016

Submission

Venue

Omaha, Nebraska, United States of America

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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
  • some person, some affiliation, country

• PC Co Chairs
  • some person, some affiliation, country

• Workshop Chair
  • some person, some affiliation, country

• Panel Chair
  • some person, some affiliation, country

• Seminars Chair
  • some person, some affiliation, country

• Demonstration Co Chairs
  • some person, some affiliation, country
  • some person, some affiliation, country

• Local Organizing Co Chairs
  • some person, some affiliation, country

• Program Committee Members
  • some person, some affiliation, country