24th International Conference on Neural Information Processing

发布时间:2017-03-22 查看会议视频

【会议基本信息】
会议名称(中文): 24th International Conference on Neural Information Processing
会议名称(英文): 24th International Conference on Neural Information Processing
所属学科: 神经科学与心理学,生物医学工程学,信号与信息处理,控制系统仿真技术
会议类型: 国内会议
会议论文集是否检索:
开始日期: 2017-11-14
结束日期: 2017-11-18
所在国家: 中华人民共和国
所在城市: 广东省 广州市
具体地点:
主办单位: 中国科学院自动化研究所、中国自动化学会
协办单位:
承办单位:
会议议题:
【组织结构】
会议主席: Derong Liu, China
组织委员会主席:
程序委员会主席:
会议嘉宾:
【重要日期】
摘要截稿日期: 2017-06-10
全文截稿日期:
论文录用通知日期:
交修订版截止日期:
【会务组联系方式】
联系人:
联系电话:
E-mail: iconip2017@foxmail.com
通讯地址:
邮政编码:
会议注册费:
会议网站: http://www.iconip2017.org/papers.html
会议背景介绍:
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.
征文范围及要求:
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
会议视频: 暂无视频

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