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ICONIP 2017 : International Conference on Neural Information ProcessingConference Series : International Conference on Neural Information Processing | |||||||||||||||
Link: http://www.iconip2017.org/papers.html | |||||||||||||||
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Call For Papers | |||||||||||||||
ICONIP 2017 aims to provide a high-level international forum for scientists, researchers, educators, industrial professionals, and students worldwide to present state-of-the-art research results, address new challenges, and discuss trends in neural information processing and applications. ICONIP 2017 invites scholars in all areas of neural network theory and applications, computational neuroscience, machine learning and others. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions and tutorials on topics of current interest.
ICONIP 2017 features plenary/keynote and panel discussion sessions by world leading researchers as well as awards to honor outstanding papers presented at this conference. ICONIP 2017 welcomes proposals for invited sessions reporting innovative research results on focused topics and tutorials and workshops on novel emerging research topics. Please submit invited session and tutorial/workshop proposals to the conference secretariat at iconip2017@foxmail.com by May 10, 2017. For more information about the conference, please refer to the conference website for details. Areas and topics of contributed papers include but are not limited to the following: A. Theory and Algorithms A01. Neurodynamics A02. Machine learning A03. Deep neural networks A04. Computational intelligence A05. Computer vision A06. Pattern recognition A07. Speech processing A08. Time series analysis A09. Reinforcement learning A10. Bayesian networks B. B. Computational and Cognitive Neurosciences B01. Sensory perception B02. Motor control B03. Decision making B04. Social cognition B05. Emotion and reward B06. Neuroeconomics B07. Computational psychiatry B08. Brain-machine interface B09. Neural data analysis C. Applications C01. Big data analysis C02. Robotics and control C03. Bioinformatics C04. Biomedical engineering C05. Neuromorphic hardware C06. Data mining C07. Information security C08. Social networks C09. Computational finance C10. Sports and rehabilitation |
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