<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="OLE_LINK2"></a><a name="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 style="margin-top:0cm" type="disc">
<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"><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"><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">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">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">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<sup>th</sup> Nov 2014 </span><span style="font-family:Garamond,serif">at the TNNLS webpage
(<a href="http://mc.manuscriptcentral.com/tnnls">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><span style="font-size:10.5pt;font-family:Garamond,serif"></span></p></div></div>