Connectionists: WCCI special session on "Advances in Reservoir Computing"

[Peter Tino]

*Call for Papers:*

*Advances in Reservoir Computing*

*Special Session for the 2018 IEEE World Congress on Computational
Intelligence (WCCI) 2018
The International Joint Conference on Neural Networks (IJCNN) 2018
**https://sites.google.com/view/reservoir-computing-ijcnn-2018*

_Paper submission deadline: 1 February 2018

IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil

*_Scope and Topics_*

During the last decade, Reservoir Computing (RC) has attested itself as
a state of the art paradigm for efficient learning in the temporal
domain. The extreme efficiency of the approach follows from limiting the
training algorithm to only a readout component, while the temporal
encoding process is carried out by a dynamical pool of recurrent neurons
that, under certain conditions, is able to develop a rich representation
of the temporal information even if untrained. The common paradigm has
been instantiated into several models, among which the Echo State
Network and the Liquid State Machine represent the most widely known ones.

Since its origins, we have witnessed a progressively increasing
popularization of the RC approach, especially by virtue of its ease of
implementation and its extreme training efficiency. At the same time,
several theoretical research lines strongly contributed in understanding
the bias of untrained recurrent models, grounding the RC methodology on
a solid mathematical basis and better delineating the potentialities and
downsides of the approach.

After 10 years since the introduction of the term "Reservoir Computing"
into the neural networks literature, it is now time to sum up all the
recent research initiatives in the field and start drawing its future.
This session calls for both theoretical and applicative contributions
emerging in the field of RC, aiming at stimulating an open discussion in
the neural network community.

 The list of relevant topics for this session includes, but is not
limited to, the following:

 * Novel Reservoir Computing models
 * Theoretical analysis of Reservoir Computing
 * Physical implementations of Reservoir Computing
 * Evolutions of the RC paradigm (e.g., conceptors)
 * Biological motivations and applications in Neuroscience of Reservoir
   Computing
 * Adaptation of reservoir dynamics and of system dynamics
 * Deep Reservoir Computing models
 * Reservoir Computing for learning in structured domains (trees,
   graphs, networks, ...)
 * Reservoir Computing for Big Data
 * Novel application fields for the RC paradigm

*_
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*_Important Dates_*

 * Paper submission deadline: 15 January 2018 1 February 2018 (extended)
 * Notification of acceptance: 15 March 2018
 * IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil

*_Papers Submission_*

Papers submission for this Special Session follows the same process as
for the regular sessions of WCCI 2018. For further information and news
in this regard, please refer the WCCI 2018 website:
http://www.ecomp.poli.br/~wcci2018/

*_Special Session Organizers_*

Claudio Gallicchio, (University of Pisa, Italy), Alessio Micheli,
(University of Pisa, Italy), Simone Scardapane (Sapienza University,
Italy), Peter Tiňo (University of Birmingham, UK).


-- 
Peter Tino
The University of Birmingham
School of Computer Science
Edgbaston, Birmingham B15 2TT, UK
+44 121 414 8558  ,  fax: 414 4281
http://www.cs.bham.ac.uk/~pxt/