Trends in Reservoir Computing
Special Issue in Cognitive Computation, LINK to the call for papers: https://www.springer.com/journal/12559/updates/17382802
Reservoir Computing (RC) is a leading-edge paradigm for the design of Recurrent Neural Network models. The approach has become popular among practitioners due to its simplicity of implementation, effectiveness in applications and efficiency. Theoretically, RC allows to deepen the study of characterizations and initialization of dynamical neural models, improving our understanding of their dynamical behavior. In recent years, studies on neuromorphic implementations of RC have also opened the way to breakthrough advancements enabling ultra-fast learning in the temporal domain.
The first International Workshop on Reservoir Computing (RC 2019), held inside ICANN 2019, brought together researchers and practitioners to discuss the state-of-the-art and open challenges for the field of RC, in all its declinations. The workshop provided an open forum for researchers to meet and present recent contributions and ideas in a highly interdisciplinary environment.
This special issue will contain selected extended papers from the submissions of the workshop, and we also welcome additional contributions that were not featured inside the workshop. These will provide an overview of the main streams of current research in the RC field, covering, without being limited to, theoretical analysis of reservoirs, neuromorphic computing and non-conventional hardware implementations of RC, optimization of reservoir configurations, emerging developments of RC, including conceptors and deep reservoirs, as well as novel application fields for the RC paradigm.
The topics of interest to be covered by this Special Issue include, but are not limited to:
Applicative papers in all areas (including robotics, industrial control, etc.) are welcome, as well as outstanding surveys on specific aspects of the field.
All papers should follow the manuscript preparation requirements for the Springer Cognitive Computation submissions, see http://www.springer.com/biomed/neuroscience/journal/12559. For LaTeX submission, please use the package available at https://www.springer.com/gp/livingreviews/latex-templates (an Overleaf version is also available). The authors are requested to submit their manuscripts via the online submission manuscript system, available at http://www.editorialmanager.com/cogn/.
During submission, authors should explicitly choose the title of the special issue in the custom question while finalizing the submission. Should there be any further enquiries, please feel free to address them to the lead guest editor: Simone Scardapane (simone.scardapane@uniroma1.it)
First notification of acceptance: 31 March 2020
Submission of revised papers: 30 April 2020
Final notification to the authors: 31 May 2020
Submission of final/camera-ready papers: 15 June 2020
Publication of special issue: July 2020 (TBC)
For more information, please contact the Special Session organizers:
Simone Scardapane (Sapienza University of Rome) simone.scardapane@uniroma1.it
Claudio Gallicchio (University of Pisa) gallicch@di.unipi.it
Alessio Micheli (University of Pisa) micheli@di.unipi.it
Miguel C. Soriano (University of the Balearic Islands) miguel@ifisc.uib-csic.es