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<p class="MsoPlainText">Dear all</p>
<p class="MsoPlainText"> </p>
<p class="MsoPlainText">** Apologies for cross-posting</p>
<p class="MsoPlainText"> </p>
<p class="MsoPlainText">Would like to draw your attention to a new Special issue in JETCAS on "Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms" that I am co-editing with colleagues. Manuscript submission deadline is
on April 30, 2017. Look forward to receiving your contributions.</p>
<p class="MsoPlainText"> </p>
<p class="MsoNormal"><span style="font-size:20.0pt; font-family:"Arial",sans-serif; color:red">IEEE JOURNAL ON
</span></p>
<p class="MsoNormal"><b><span style="font-size:20.0pt; font-family:"Arial",sans-serif; color:red">EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS</span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:14.0pt; font-family:"Arial",sans-serif"> </span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:14.0pt; font-family:"Arial",sans-serif; color:red">CALL for PAPERS</span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:16.0pt; color:red">Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms
</span></p>
<p class="MsoNormal" style="text-align:justify"><b><span style="color:red">Guest Editors</span></b><span style="color:red">
</span><span style="font-size:11.0pt; color:red"></span></p>
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<p class="MsoNormal" style="text-align:justify"><b><span style="font-size:11.0pt">Full name</span></b></p>
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<td width="200" valign="top" style="width:150.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><b><span style="font-size:11.0pt">Email</span></b></p>
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<p class="MsoNormal" style="text-align:justify"><b><span style="font-size:11.0pt">Affiliation</span></b></p>
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<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Arindam Basu*</span></p>
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<td width="200" valign="top" style="width:150.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt"><a href="mailto:arindam.basu@ntu.edu.sg">arindam.basu@ntu.edu.sg</a></span></p>
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<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Nanyang Technological University</span></p>
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<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Tanay Karnik</span></p>
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<td width="200" valign="top" style="width:150.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt"><a href="mailto:tanay.karnik@intel.com">tanay.karnik@intel.com</a></span></p>
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<td width="288" valign="top" style="width:216.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Intel</span></p>
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<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Hai Li</span></p>
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<td width="200" valign="top" style="width:150.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt"><a href="mailto:hai.li@duke.edu">hai.li@duke.edu</a></span></p>
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<td width="288" valign="top" style="width:216.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Duke University
</span></p>
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<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Elisabetta Chicca</span></p>
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<td width="200" valign="top" style="width:150.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt"><a href="mailto:chicca@cit-ec.uni-bielefeld.de">chicca@cit-ec.uni-bielefeld.de</a></span></p>
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<td width="288" valign="top" style="width:216.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Bielefeld University</span></p>
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<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Meng-Fan Chang</span></p>
</td>
<td width="200" valign="top" style="width:150.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt"><a href="mailto:mfchang@mx.nthu.edu.tw">mfchang@mx.nthu.edu.tw</a></span></p>
</td>
<td width="288" valign="top" style="width:216.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">National Tsing Hua University</span></p>
</td>
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<td width="136" valign="top" style="width:102.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Jae-sun Seo</span></p>
</td>
<td width="200" valign="top" style="width:150.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt"><a href="mailto:jaesun.seo@asu.edu">jaesun.seo@asu.edu</a></span></p>
</td>
<td width="288" valign="top" style="width:216.0pt; padding:0cm 5.4pt 0cm 5.4pt">
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt">Arizona State University</span></p>
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<p class="MsoNormal" style="text-align:justify">(* Corresponding)</p>
<p class="MsoNormal" style="text-align:justify"><span style="font-size:11.0pt"> </span></p>
<p class="MsoNormal" style="text-align:justify"><b><span style="color:red">Scope and Purpose</span></b></p>
<p class="MsoNormal" style="margin-bottom:12.0pt; text-align:justify">The recent success of “Deep neural networks” (DNN) has renewed interest in bio-inspired machine learning algorithms. DNN refers to neural networks with multiple layers (typically two or more)
where the neurons are interconnected using tunable weights. Though these architectures are not new, availability of lots of data, huge computing power and new training techniques (such as unsupervised initialization, use of rectified linear units as the neuronal
nonlinearity, regularization using dropout or sparsity, etc.) to prevent the networks from over-fitting have led to its great success in recent times. DNN has been applied to a variety of fields such as object or face recognition in images, word recognition
in speech or even natural language processing and the success stories of DNN keep on increasing every day.
</p>
<p class="MsoNormal" style="margin-bottom:12.0pt; text-align:justify; text-autospace:none">
However, the common training method in deep learning, such as back propagation, tunes the weights of neural networks based on the gradient of the error function, which requires a known output value for every input. It would be difficult to use such supervised
learning methods to train and adapt to real-time sensory input data that are mostly unlabeled. In addition, training and classification phases of deep neural networks are typically separated, such that training occurs in the cloud or high-end graphics processing
units, while their weights or synapses are fixed during deployment for classification. However, this makes it difficult for the neural network to continuously adapt to input or environment changes in real-world applications. By adopting unsupervised and semi-supervised
learning rules found in biological nervous systems, we anticipate to enable <i>adaptive
</i>neuromorphic systems for many real-time applications with a large amount of unlabeled data, similar to how humans analyze and associate sensory input data. Energy-efficient hardware implementation of these adaptive neuromorphic systems is particularly challenging
due to intensive computation, memory, and communication that are necessary for online, real-time learning and classification. Cross-layer innovations on algorithms, architectures, circuits, and devices are required to enable adaptive intelligence especially
on embedded systems with severe power and area constraints. </p>
<p class="MsoNormal" style="text-align:justify"><b><span style="color:red">Topics of Interest</span></b><span style="color:red"></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt; text-align:justify; text-autospace:none">
This special issue invites submissions relating to all aspects of <i>adaptive</i> neuromorphic systems across algorithms, devices, circuits, and architectures. Possible scalability to human brain-scale computing level with energy-efficient online learning is
desired. Submissions are welcome in the following topics or other related topics:</p>
<p class="MsoListParagraphCxSpFirst" style="margin-bottom:12.0pt; text-align:justify; text-indent:-18.0pt">
<span style="font-family:Symbol"><span style="">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Spin mode adaptive neuromorphics with devices such as spin transfer nano-oscillator, domain wall memory, tunneling magnetic resistance, inverse spin hall effect, etc.</span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-bottom:12.0pt; text-align:justify; text-indent:-18.0pt">
<span style="font-family:Symbol"><span style="">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Memristive technology based learning synapse and neurons</span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-bottom:12.0pt; text-align:justify; text-indent:-18.0pt">
<span style="font-family:Symbol"><span style="">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Neuromorphic implementations of synaptic plasticity, short-term adaptation and homeostatic mechanisms</span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-bottom:12.0pt; text-align:justify; text-indent:-18.0pt">
<span style="font-family:Symbol"><span style="">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Self-learning synapses (STDP and variants) and self-adaptive neuromorphic systems</span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-bottom:12.0pt; text-align:justify; text-indent:-18.0pt">
<span style="font-family:Symbol"><span style="">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">High fan-in scalable interconnect fabric technologies mimicking brain-scale networks</span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-bottom:12.0pt; text-align:justify; text-indent:-18.0pt">
<span style="font-family:Symbol"><span style="">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Circuits and systems for efficient interfacing with post-CMOS memory based learning synapses</span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-bottom:12.0pt; text-align:justify; text-indent:-18.0pt">
<span style="font-family:Symbol"><span style="">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Design methodology and design tools for adaptive neuromorphic systems with post-CMOS devices</span></p>
<p class="MsoListParagraphCxSpLast" style="margin-bottom:12.0pt; text-align:justify; text-indent:-18.0pt">
<span style="font-family:Symbol"><span style="">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Algorithm, device, circuit, and architecture co-design for energy-efficient adaptive neuromorphic hardware</span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt; text-align:justify"><b><span style="color:red">Important Dates</span></b></p>
<p class="MsoListParagraphCxSpFirst" style="margin-bottom:12.0pt; text-indent:-18.0pt">
<span style="font-family:"Times New Roman",serif"><span style="">1.<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Manuscript submissions due: April 30, 2017</span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-bottom:12.0pt; text-indent:-18.0pt">
<span style="font-family:"Times New Roman",serif"><span style="">2.<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">First decision: July 15, 2017</span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-bottom:12.0pt; text-indent:-18.0pt">
<span style="font-family:"Times New Roman",serif"><span style="">3.<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Revised manuscripts due: August 15, 2017</span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-bottom:12.0pt; text-indent:-18.0pt">
<span style="font-family:"Times New Roman",serif"><span style="">4.<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Final Decision: October 15, 2017</span></p>
<p class="MsoListParagraphCxSpLast" style="margin-bottom:12.0pt; text-indent:-18.0pt">
<span style="font-family:"Times New Roman",serif"><span style="">5.<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-family:"Times New Roman",serif">Final manuscripts due: November 15, 2017</span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt; text-align:justify"><b><span style="color:red">Request for Information</span></b></p>
<p class="MsoNormal" style="margin-bottom:12.0pt; text-align:justify">Arindam Basu (<a href="mailto:arindam.basu@ntu.edu.sg">arindam.basu@ntu.edu.sg</a>)</p>
<p style="text-align:justify; line-height:115%"><a href="https://mc.manuscriptcentral.com/jetcas">https://mc.manuscriptcentral.com/jetcas</a></p>
<p class="MsoPlainText"> </p>
<p class="MsoNormal"> </p>
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<p class="MsoNormal"> </p>
<p class="MsoNormal"><span style="font-size:11.0pt; font-family:"Calibri",sans-serif; color:#1F497D">Best regards,</span></p>
<p class="MsoNormal"><span style="font-size:11.0pt; font-family:"Calibri",sans-serif">Arindam<span style="color:#1F497D"></span></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt; font-family:"Calibri",sans-serif"> </span></p>
<p class="MsoNormal"><span style="font-size:11.0pt; font-family:"Calibri",sans-serif; color:#1F497D"><a href="http://www3.ntu.edu.sg/home/arindam.basu/"><span style="color:#0563C1">http://www3.ntu.edu.sg/home/arindam.basu/</span></a>
</span></p>
<p class="MsoNormal"><span style="font-size:11.0pt; font-family:"Calibri",sans-serif"> </span></p>
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