<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class=""><div class=""><br class=""></div><div class="">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 invited sessions and tutorials on topics of current interest.</div><div class=""><br class=""></div><div class="">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 visit <a href="http://www.iconip2017.org" class="">www.iconip2017.org</a> for instructions on how to submit invited session and tutorial/workshop proposals. The deadline is May 10, 2017. </div><div class=""><br class=""></div><div class="">To submit papers, please visit <a href="http://www.iconip2017.org" class="">www.iconip2017.org</a></div><div class=""><br class=""></div><div class="">Areas and topics of contributed papers include but are not limited to the following:</div><div class=""><br class=""></div><div class="">A. Theory and Algorithms</div><div class="">A01. Neurodynamics</div><div class="">A02. Machine learning</div><div class="">A03. Deep neural networks</div><div class="">A04. Computational intelligence</div><div class="">A05. Computer vision</div><div class="">A06. Pattern recognition</div><div class="">A07. Speech processing</div><div class="">A08. Time series analysis</div><div class="">A09. Reinforcement learning</div><div class="">A10. Bayesian networks</div><div class=""><br class=""></div><div class="">B. Computational and Cognitive Neurosciences</div><div class="">B01. Sensory perception</div><div class="">B02. Motor control</div><div class="">B03. Decision making</div><div class="">B04. Social cognition</div><div class="">B05. Emotion and reward</div><div class="">B06. Neuroeconomics</div><div class="">B07. Computational psychiatry</div><div class="">B08. Brain-machine interface</div><div class="">B09. Neural data analysis</div><div class=""><br class=""></div><div class="">C. Applications</div><div class="">C01. Big data analysis</div><div class="">C02. Robotics and control</div><div class="">C03. Bioinformatics</div><div class="">C04. Biomedical engineering</div><div class="">C05. Neuromorphic hardware</div><div class="">C06. Data mining</div><div class="">C07. Information security</div><div class="">C08. Social networks</div><div class="">C09. Computational finance</div><div class="">C10. Sports and rehabilitation</div><div class=""><br class=""></div><div class="">On behalf of the organizing committee of ICONIP 2017</div><div class="">Derong Liu, General Chair</div><div class="">Shengli Xie, Program Chair</div><div class="">Yuanqing Li, Program Chair</div><div class="">Dongbin Zhao, Program Chair</div><div class="">El-Sayed M. El-Alfy, Program Chair</div></div><div class=""><br class=""></div><div class=""><br class=""></div></body></html>