Connectionists: Call for Papers: WCCI 2016 International Workshop on Neuromorphic Computing and Cyborg Intelligence

[Garrick Orchard]

**Apologies for cross posting.**
**Please forward this call for papers to anyone else who might be
interested.**


*WCCI 2016 International Workshop on Neuromorphic Computing and Cyborg
Intelligence *

*25-29 July 2016 Vancouver Canada*

*Paper Submission Deadline: Feb 8, 2016*
Paper submission is done through the IEEE CEC 2016 paper submission link,
http://ieee-cis.org/conferences/cec2016/upload.php
In the "*Main Research Topic*", select "*8ab: International Workshop on
Neuromorphic Computing and Cyborg Intelligence*".
High quality workshop papers will be invited to submit their full studies
to the special issue on IEEE Transactions on Cognitive and Developmental
Systems.

*Aim and Scope*

In recent years neuromorphic computing has become an important emerging
research area. There has been rapid progress in computational theory,
learning algorithms, signal processing and circuit design and
implementation,
which have shown appealing computational advantages over conventional
solutions. The low size, weight, and power of these hardware architectures
shows great
potential for embedded cognitive systems. Starting from emulating the
computational principles and architecture found in neural systems,
neuromorphic computing aims to integrate sensory coding, synaptic computing
(e.g., STDP), learning and memory, and attempts to develop neuromorphic
sensors and chips, and cognitive behaving systems such as robots.
Neuromorphic hardware has
provided a fundamentally different technique for data representation and
learning, e.g., asynchronous events rather than regularly sampled frames of
images. Various
hardware systems leveraging on neural spikes based computing have been
reported to achieve good performance with much lower power
consumption. Therefore,
neuromorphic computing can inform cognitive
systems because the algorithms that run on this hardware must be
neurobiologically inspired. A huge potential exists for applying this
emerging computing framework
to the next generation of cognitive systems and robotics, neuro-inspired
sensors and processors, etc.

*Themes*
This workshop aims to report state-of-the-art approaches and recent
advances on (a) learning algorithms constrained by limits of biology and
neuromorphic hardware
(b) neuromorphic hardware for cognitive systems and
(c) applications of neuromorphic architecture or hardware to cognitive
robotics.

Topics relevant to this workshop include, but are not limited to

   - Neuromorphic cognitive systems
   - Cognitive robotics
   - Brain-inspired data representation models
   - STDP, Spike-based sensing and learning algorithms
   - Spike-based processing and methods for configuring spike-based
   processors
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