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<p class="" style="margin-bottom:0.0001pt;line-height:13.65pt"><span style="font-size:11.5pt;font-family:Arial;color:black">***
Apologies for cross posting ***</span><span style="font-size:10pt;font-family:Arial;color:black"></span></p>
<p class="" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial;color:black"> </span></p>
<p class=""><b><span style="font-size:16pt;font-family:Arial;color:black">ESANN</span></b><b><span style="font-size:16pt;font-family:Arial;color:black"> 2014 Special Session - "</span></b><b><span style="font-size:16pt;font-family:Arial;color:black">Advances
in Spiking Neural Information Processing Systems (SNIPS)</span></b><b><span style="font-size:16pt;font-family:Arial;color:black">" - CALL FOR
PAPERS</span></b><b><span style="font-size:11.5pt;font-family:Arial;color:black"> </span></b><span style="font-size:13.5pt;font-family:Arial;color:black"><br>
<br>
</span><span style="font-size:11.5pt;font-family:Arial;color:black">European
Symposium on Artificial Neural Networks, Computational Intelligence and Machine
Learning (ESANN 2014). 23-25 April 2014, Bruges, Belgium - <u><a href="http://www.esann.org">http://www.esann.org</a></u></span><span style="font-size:10pt;font-family:Arial;color:black"></span></p>
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<hr size="2" width="100%" noshade style="color:rgb(34,34,34)" align="left">
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<p class=""><span style="font-size:11pt;font-family:Arial;color:black">Submissions
are invited for next year ESANN Special Session </span><a href="https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#Advances in Spiking Neural Information Processing Systems (SNIPS)"><span style="font-size:11pt;font-family:Arial">"</span><span style="font-size:11pt;font-family:Arial">Advances in Spiking Neural
Information Processing Systems (SNIPS)</span><span style="font-size:11pt;font-family:Arial">"</span></a><span style="font-size:11pt;font-family:Arial;color:black">. </span></p>
<p class="" style="margin-bottom:0.0001pt"><i><span style="font-size:11.5pt;font-family:Arial;color:black">Organizers</span></i><span style="font-size:11.5pt;font-family:Arial;color:black">: </span></p>
<p class="" style="margin-bottom:0.0001pt"><span style="font-size:11.5pt;font-family:Arial;color:black">Sander Bohte (CWI, The Netherlands)</span></p>
<p class="" style="margin-bottom:0.0001pt"><span style="font-size:11pt;font-family:Arial;color:black">Andr</span><span style="font-size:11pt;font-family:Arial;color:black">é</span><span style="font-size:11pt;font-family:Arial;color:black"> Gr</span><span style="font-size:11pt;font-family:Arial;color:black">ü</span><span style="font-size:11pt;font-family:Arial;color:black">ning
(University of Surrey, United Kingdom)</span></p>
<p class="" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial;color:black"> </span></p>
<p class="" style="margin-bottom:0.0001pt;line-height:13.65pt"><b><span style="font-size:11.5pt;font-family:Arial;color:black">ABSTRACT</span></b><span style="font-size:10.5pt;font-family:Arial;color:black"></span></p>
<p class="" style="margin-bottom:0.0001pt"><span style="font-size:11pt;font-family:Arial;color:black">Spiking neural networks have been heralded as
"the third generation" of neural networks quite a while ago already.
Over the last decade, various spiking neural network models have been proposed,
alongside a similar increasing interest in spiking models of computation in
computational neuroscience. Still, state-of-the-art neural networks, like deep
learning models, are based on traditional neural networks. In this special
session, we want to bring together advances in spiking neural networks that
challenge, or go beyond, the current state-of-the-art in neural networks. </span><span style="font-size:11pt;font-family:Arial;color:black"></span></p>
<p class="" style="margin-bottom:0.0001pt;line-height:13.65pt"><span style="font-size:13.5pt;font-family:Arial;color:black"><br>
</span><b><span style="font-size:11.5pt;font-family:Arial;color:black">TOPICS</span></b><span style="font-size:10.5pt;font-family:Arial;color:black"></span></p>
<p class="" style="margin-bottom:12pt"><span style="font-size:11pt;font-family:Arial;color:black">In this special session, w</span><span style="font-size:11pt;font-family:Arial;color:black">e
are looking to bring together researchers interested in developing and applying
learning algorithms for spiking neural networks that</span></p>
<p class="" style="margin:0cm 0cm 12pt 72pt"><span style="font-size:11pt;font-family:Symbol;color:black">·<span style="font-size:7pt;font-family:'Times New Roman'"> </span></span><span style="font-size:11pt;font-family:Arial;color:black">make use of learning,
</span></p>
<p class="" style="margin:0cm 0cm 12pt 72pt"><span style="font-size:11pt;font-family:Symbol;color:black">·<span style="font-size:7pt;font-family:'Times New Roman'"> </span></span><span style="font-size:11pt;font-family:Arial;color:black">are supervised or unsupervised,
</span></p>
<p class="" style="margin:0cm 0cm 12pt 72pt"><span style="font-size:11pt;font-family:Symbol;color:black">·<span style="font-size:7pt;font-family:'Times New Roman'"> </span></span><span style="font-size:11pt;font-family:Arial;color:black">aim to be biologically plausible, </span></p>
<p class="" style="margin:0cm 0cm 12pt 72pt"><span style="font-size:11pt;font-family:Symbol;color:black">·<span style="font-size:7pt;font-family:'Times New Roman'"> </span></span><span style="font-size:11pt;font-family:Arial;color:black">aim to be cognitively plausible or </span></p>
<p class="" style="margin:0cm 0cm 12pt 72pt"><span style="font-size:11pt;font-family:Symbol;color:black">·<span style="font-size:7pt;font-family:'Times New Roman'"> </span></span><span style="font-size:11pt;font-family:Arial;color:black">aim to be technically efficient.</span></p>
<p class="" style="margin-bottom:12pt"><span style="font-size:11pt;font-family:Arial;color:black">Examples
of such work could include probabilistic, efficient, logical and/or dynamical
spiking computation. </span><span style="font-size:11pt;font-family:Arial;color:black"></span></p>
<p class="" style="margin-bottom:0.0001pt;line-height:13.65pt"><b><span style="font-size:11.5pt;font-family:Arial;color:black">SUBMISSION
& IMPORTANT DATES</span></b><span style="font-size:10.5pt;font-family:Arial;color:black"></span></p>
<p class="" style="margin-bottom:0.0001pt"><span style="font-size:11pt;font-family:Arial;color:black">We kindly invite
you to submit a paper to this special session. Each paper will undergo to a
peer reviewing process for its acceptance. Paper submission should be done
exclusively through the ESANN<span style="background-color:rgb(255,255,204)"> </span>portal
following the instructions provided in: (<a href="http://www.elen.ucl.ac.be/esann/">http://www.elen.ucl.ac.be/esann/</a><u>)</u>. </span></p>
</div><div><br></div><div><span style="font-size:15px;font-family:Arial">Kind regards,</span><br></div><div><div><p class=""><span style="font-size:11pt;font-family:Arial">Sander Bohte and André Grüning</span></p>
</div>-- <br>=============================<br>Dr Sander M. Bohte<div>CWI Amsterdam, Dept Life Sciences<br>PI Dynamical Neural Processing<br><a href="http://www.cwi.nl/~sbohte" target="_blank">http://www.cwi.nl/~sbohte</a><br>
tel +31-205924074
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