<div dir="ltr"><font size="4" face="garamond, serif">Call For Papers</font><div><br></div><div><p class="MsoNormal" align="center" style="margin-bottom:0.0001pt;text-align:center"><font size="4"><a name="147648f1a382376d_OLE_LINK2"></a><a name="147648f1a382376d_OLE_LINK1"><b><span lang="EN-US" style="font-family:Garamond,serif;font-variant:small-caps">IEEE Transactions on Neural Networks and Learning Systems</span></b></a><b><span lang="EN-US" style="font-family:Garamond,serif;font-variant:small-caps"></span></b></font></p><p class="MsoNormal" align="center" style="margin-bottom:0.0001pt;text-align:center"><span style="font-family:Garamond,serif"><font size="4">Special Issue on</font></span></p><p class="MsoNormal" align="center" style="margin-bottom:0.0001pt;text-align:center"><b><span style="font-family:Garamond,serif"><font size="4">Learning in Neuromorphic Systems and Cyborg Intelligence</font></span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;text-align:justify"><font size="4"><span lang="EN-US" style="font-family:Garamond,serif"><br></span><span style="font-family:Garamond,serif">Emulating brain-like learning performance has been a key challenge for research in neural networks and learning systems, including recognition, memory and perception. In the last few decades, a variety of approaches for brain-like learning and information processing have been proposed, including approaches based on sparse representations or  hierarchical/deep architectures. While capable of achieving impressive performance, these methods still perform poorly compared to biological systems under a wide variety of conditions. With the availability of neuromorphic hardware providing a fundamentally different technique for data representation, neuromorphic systems, using neural spikes to represent the outputs of sensors and for communication between computing blocks, and using spike timing based learning algorithms, have shown appealing computing characteristics.  However, current neuromorphic learning systems cannot yet achieve the performance figures comparable to what machine learning approaches can offer. Neuromorphic systems are also compatible with another framework called cyborg intelligence. Cyborg intelligence aims to deeply integrate machine intelligence with biological intelligence by connecting machines and living beings via brain-machine interfaces, enhancing strengths and compensating for weaknesses by combining the biological cognition capability with the machine computational capability. In cyborg intelligence, the real-time interaction and exchange of information between biological and artificial neural systems is still an important open challenge, and existing learning approaches would not be able to meet such a challenge. The goal of the special issue is to consolidate the efforts for developing a suitable learning framework for neuromorphic systems and cyborg intelligence and promote research activities in this area.</span></font></p><p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4"> </font></span></p><p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span style="font-family:Garamond,serif"><font size="4">SCOPE OF THE SPECIAL ISSUE</font></span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt"><font size="4"><span lang="EN-GB" style="font-family:Garamond,serif">We invite original contributions </span><span style="font-family:Garamond,serif">related to </span><span lang="EN-GB" style="font-family:Garamond,serif">learning in neuromorphic systems and cyborg intelligence, from </span><span style="font-family:Garamond,serif">theories, algorithms, modelling and experiment studies to applications</span><span lang="EN-GB" style="font-family:Garamond,serif">. Topics include but are not limited to:  </span><b><span lang="EN-US" style="font-family:'Times New Roman',serif"></span></b></font></p><ul type="disc" style="margin-top:0cm"><li class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4">Cognitive computing and cyborg intelligence</font></span></li><li class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4">Neuromorphic information/signal processing</font></span></li><li class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4">Brain-inspired data representation models</font></span></li><li class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4">Neuromorphic learning and cognitive systems</font></span></li><li class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4">Co-learning in bio-machine systems</font></span></li><li class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4">Spike-based sensing and learning</font></span></li><li class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4">Neuromorphic sensors and hardware systems</font></span></li><li class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4">Intelligence for embedded systems</font></span></li><li class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4">Cognition mechanisms for big data</font></span></li><li class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-family:Garamond,serif"><font size="4">Embodied cognition and neuro-robotics.</font></span></li></ul><p class="MsoNormal" style="margin-bottom:0.0001pt;text-align:justify"><font size="4"><span lang="EN-GB" style="font-family:Garamond,serif"><br></span><b><span lang="EN-US" style="font-family:Garamond,serif;font-variant:small-caps">Important Dates</span></b></font></p><p class="MsoNormal" style="margin-bottom:3pt"><font size="4"><span lang="IT" style="font-family:Garamond,serif;color:red">15 Nov 2014</span><span lang="IT" style="font-family:Garamond,serif"> – Deadline for manuscript submission</span></font></p><p class="MsoNormal" style="margin-bottom:3pt"><span lang="IT" style="font-family:Garamond,serif"><font size="4">15 Feb 2015 – Notification of authors</font></span></p><p class="MsoNormal" style="margin-bottom:3pt"><span lang="IT" style="font-family:Garamond,serif"><font size="4">15 Apr 2015–  Deadline for submission of revised manuscripts</font></span></p><p class="MsoNormal" style="margin-bottom:3pt"><span lang="IT" style="font-family:Garamond,serif"><font size="4">15 May 2015 – Final decision</font></span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;text-align:justify"><b><span lang="IT" style="font-family:Garamond,serif;font-variant:small-caps"><font size="4"> </font></span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;text-align:justify"><font size="4"><b><span lang="IT" style="font-family:Garamond,serif;font-variant:small-caps">Guest Editors</span></b><span lang="IT" style="font-family:Garamond,serif"></span></font></p><p class="MsoNormal" style="margin-bottom:0.0001pt"><font size="4"><span lang="IT" style="font-family:Garamond,serif">Zhaohui Wu          Zhejiang University, China (</span><a href="mailto:wzh@zju.edu.cn" target="_blank"><span lang="IT" style="font-family:Garamond,serif;color:windowtext;text-decoration:none">wzh@zju.edu.cn</span></a><span lang="IT" style="font-family:Garamond,serif">)</span></font></p><p class="MsoNormal" style="margin-bottom:0.0001pt"><font size="4"><span lang="IT" style="font-family:Garamond,serif">Ryad Benosman     University of Pierre and Marie Curie, France (</span><a href="mailto:ryad.benosman@upmc.fr" target="_blank"><span lang="IT" style="font-family:Garamond,serif;color:windowtext;text-decoration:none">ryad.benosman@upmc.fr</span></a><span lang="IT" style="font-family:Garamond,serif">)</span></font></p><p class="MsoNormal" style="margin-bottom:0.0001pt"><font size="4"><span lang="IT" style="font-family:Garamond,serif">Huajin Tang          Institute for Infocomm Research, Singapore and Sichuan University</span><span lang="IT" style="font-family:Garamond,serif">  </span><span lang="IT" style="font-family:Garamond,serif">(<a href="mailto:huajin.tang@ieee.org" target="_blank">huajin.tang@ieee.org</a>)</span></font></p><p class="MsoNormal" style="margin-bottom:0.0001pt"><span lang="IT" style="font-family:Garamond,serif"><font size="4">Shih-Chii Liu         Institute of Neuroinformatics, University of Zurich and ETH Zurich (<a href="mailto:shih@ini.phys.ethz.ch" target="_blank">shih@ini.phys.ethz.ch</a>)</font></span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;text-align:justify"><span lang="IT" style="font-family:Garamond,serif"><font size="4"> </font></span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;text-align:justify"><b><span lang="EN-US" style="font-family:Garamond,serif;font-variant:small-caps"><font size="4">Submission Instructions</font></span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt"><font size="4"><span lang="EN-GB" style="font-family:Garamond,serif">1. Read the information for Authors at </span><span lang="EN-US"><font face="garamond, serif"><a href="http://cis.ieee.org/tnnls" target="_blank">http://cis.ieee.org/tnnls</a></font></span><span lang="EN-US" style="font-family:Garamond,serif"></span></font></p><p class="MsoNormal" style="margin-bottom:0.0001pt"><font size="4"><span lang="EN-GB" style="font-family:Garamond,serif">2. Submit the manuscript by 15^th Nov 2014 </span><span style="font-family:Garamond,serif">at the TNNLS webpage (<a href="http://mc.manuscriptcentral.com/tnnls" target="_blank">http://mc.manuscriptcentral.com/tnnls</a>) and follow the submission procedure. Please, clearly indicate on the first page of the manuscript and in the cover letter that the manuscript has been submitted to the special issue </span><span lang="EN-US" style="font-family:Garamond,serif">on </span><i><span lang="EN-US" style="font-family:Garamond,serif">Learning in Neuromorphic Systems and Cyborg Intelligence. </span></i><span lang="EN-GB" style="font-family:Garamond,serif">Send also an email to the guest editors with subject </span><span style="font-family:Garamond,serif">“TNNLS special issue submission” </span><span lang="EN-GB" style="font-family:Garamond,serif">to notify about your submission.</span></font></p></div></div>