CONIP 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. For more information about the conference, please refer to the conference website for details.
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.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 |
11月14日
2017
11月18日
2017
摘要截稿日期
注册截止日期
2014年11月03日 马来西亚
2014年第21届神经信息处理国际会议
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