CFPS and Announcement of a new journal devoted to Letters and Reviews

Soo-Young Lee sylee at ee.kaist.ac.kr
Tue May 6 01:02:30 EDT 2003


(Sorry, if you receive multiple copies.)

CFPs and Announcement of 

a new rapid-publication journal with double-blind reviews

"Neural Information Processing - Letters and Reviews"
 
The first issue is scheduled on September 2003.

 
1.  Motivation

 Although there exist many journals on neural networks, publications usually 
require one to two years from the date of submission and the published 
materials may not necessarily the latest at the time of publications. 
However, in many scientific disciplines, the publication time is usually 6 
months. Also, in some scientific and engineering disciplines there exist "
Letters" journals for rapid (timely) communications such as Electronics 
Letters and Optics Letters. These Letters enjoy high citation impact factors 
and excellent reputation. The rapid publication is more critical for 
multidisciplinary researches, where researchers come from many different 
academic backgrounds and may not know what the others are doing. Many 
researchers also believe that double-blind review procedures should be 
implemented.

Another motivation comes from the need of good review papers on new and 
important topics. Review papers are extremely helpful to young researchers 
who would like to get into the field, especially for multidisciplinary 
researches, but not many journals accept review papers.
It is also very important to connect system-level neuroscience and artificial 
neural networks. Although both communities can be benefited from each, there 
exists a big communication gap between these two communities. 

Therefore, it is very important to have at-least one publication devoted to 
timely communication and review papers with double-blind review procedures 
for both neuroscience and neural engineering communities.

2.  Goals

(a) Timely Publication
      - 3 to 4 months to publication for Letters
      - up to 6 months to publication for Reviews

(b) Connecting Neuroscience and Engineering

      - serving system-level neuroscience and artificial neural network 
        communities

(c) Low Cost
      - free for online only
      - US$30 per year for hardcopy

(d) High Quality
      - unbiased double-blind reviews
      - short papers (up to 6 single-column single-space published pages) 
        for Letters (The Letters may include preliminary results of excellent 
        ideas, and full paper may be published latter at other journals.)
      - in-depth reviews of new and important topics for Reviews

3.  Topics

      -  Cognitive neuroscience
      -  Computational neuroscience
      -  Neuroinformatics database and analysis tools
      -  Brain signal measurements and functional brain mapping
      -  Neural modeling and simulators
      -  Neural network architecture and learning algorithms
      -  Data representations in neural systems
      -  Information theory for neural systems
      -  Software implementations of neural networks
      -  Neuromorphic hardware implementations
      -  Biologically-motivated speech signal processing
      -  Biologically-motivated image processing
      -  Human-like inference systems and intelligent agents
      -  Human-like behavior and intelligent systems
      -  Artificial life
      -  Other applications of neural information processing mechanisms

4.  Publications

      - monthly online publications 
      - yearly paper publications

5.  Copyright

    Authors have all the rights on their papers, and may publish extended 
versions of their Letters to other journals.
   
6.  Subscription Fee

    - On-line version: FREE
    - Hardcopy version:
          Personal: US$30/year (surface mail)
          Institution: US$50/year (surface mail)

7.  Paper Reviews and Acceptance Decision

    - electronic review process based on Adobe PDF, Postscript, or MS Word files
    - rapid and unbiased (double-blind) reviews
    - binary ("Accept" or "Reject") decisions without revision 
      requirements for Letters
      (Mandatory English editing services may be recommended.)
    - minor revision may be requested for Review papers.

8.  Editors and Publisher

Publisher:    KAIST Press

Home Page:  http://www.nip-lr.info and http://neuron.kaist.ac.kr/nip-lr/ 
(from May 15th, 2003.)

Editor-in-Chief:        
        Soo-Young Lee
        Director, Brain Science Research Center
        Korea Advanced Institute of Science and Technology
        373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701
        Korea (South)
        Tel: +82-42-869-3431
        Fax: +82-42-869-8490
        E-mail: nip-lr at neuron.kaist.ac.kr                 

9.  Paper Submission

    All papers should be submitted to the Editor-in-Chief by e-mail at 
nip-lr at neuron.kaist.ac.kr. Detail guidelines and paper formats will be shown 
at the journal homepages (http://www.nip-lr.info and 
http://neuron.kaist.ac.kr/nip-lr/), which will be open at May 15th, 2003. 

10.  Others

    Although the journal got supports from many APNNA (Asia-Pacific Neural 
Network Assembly) Governing Board members, the official relationship between 
the journal and APNNA will be discussed latter. The journal is also expected 
to satisfy requirements for the inclusion in the SCI/SCIE in the near future.
----------------------------------------------------------------------
Neural Information Processing - Letters and Reviews

Editor-in-Chief

Soo-Young Lee
Director, Brain Science Research Center
Korea Advanced Institute of Science and Technology
373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701
Korea (South)
Tel: +82-42-869-3431 / Fax: +82-42-869-8490
E-mail: nip-lr at neuron.kaist.ac.kr

 
Advisory Board

Shun-ichi Amari, RIKEN Brain Science Institute, Japan
Rodney Douglas, University/ETH Zurich , Switzerland 
Kunihiko Fukushima, Tokyo University of Technology, Japan
Terry Sejnowski, Salk Institute, USA
Harod Szu, Office of Naval Researches, USA

 
Editorial Board

Alan Barros, Universidade Federal do Maranhao, Brazil
James A. Bednar, University of Texas at Austin, USA
Yoonsuck Choe, Texas A&M University, USA
Seungjin Choi, Pohang University of Science and Technology, Korea
Andrzej Cichocki, RIKEN Brain Science Institute, Japan
Wlodzislaw Duch, Nicholaus Copernicus University, Poland 
Tom Gedeon, Murdoch University, Australia
Saman Halgamuge, University of Melbourne, Australia
Shigeru Ikeda, Institute of Statistical Mathematics, Japan
Masumi Ishikawa, Kyushu Institute of Technology, Japan
Marwan Jabri, Oregon Health and Sciences University, USA
Janusz Kacprzyk, Polish Academy of Sciences, Poland
Nikolas Kasabov, Auckland University of Technology, New Zealand
Okyay Kaynak, Bogazii University, Turkey
Dae-Shik Kim, University of Minnesota, USA
Seunghwan Kim, Pohang University of Science and Technology, Korea
Irwin King, Chinese University of Hong Kong, Hong Kong
Elmar Lang, University of Regensburg, Germany
Chong Ho Lee, Inha University, Korea
Daniel Lee, University of Pennsylvania, USA
Minho Lee, Kyungpook National University, Korea
Seong-Whan Lee, Korea University, Korea
Te-Won Lee, University of California, San Diego, USA
Chin-Teng Lin, National Chiao-Tung University, Taiwan
Sigeru Omatu, Osaka Prefecture University, Japan
Nikhil R. Pal, Indian Statistical Institute, India
Carlos G. Puntonet , University of Granada, Spain
Jagath C. Rajapakse, Nanyang Technological University, Singapore
Asim Roy, Arizona State University, USA
Christine Servire, Institut National Polytechnique de Grenoble, France 
Jude Shavlik, University of Wisconsin, USA
Alessandro Sperduti, Universit degli Studi di Padova, Italy
Ron Sun, University of Missouri-Columbia, USA
Shigeru Tanaka, RIKEN Brain Science Institute, Japan
Lipo Wang, Nanyang Technological University, Singapore
Takeshi Yamakawa, Kyushu Institute of Technology, Japan
Mingsheng Zhao, Tsinghua University, China
Yixin Zhong, University of Posts & Telecommunications, China
Michael Zibulevsky, Technion, Israel
-----------------------------------------------------------------------

Paper Format for the Neural Information Processing - Letters and Reviews

     The paper should be located in 16.0 cm x 23.7 cm. For the recommended A4 
paper size the top and bottom margins are 3.0 cm, and the left and right 
margins are 2.5 cm. The Letters should not exceed 6 pages, while no page 
limit is set to the Reviews. Abstract should have 1.5 cm indent on both 
sides, and should not exceed 200 words. 

      The paper should be written in single column single space with Time New 
Roman font. Bold characters should be used for the paper title and section 
headings. The recommended font size is 10 points, while 14 points and 12 
points are used for the paper title and section headings, respectively. 

      The paper should be organized in the order of paper title, authors' 
information, abstract, keywords, main text, acknowledgment, references, and 
authors' bio-sketches. The authors' information consists of author name(s), 
department and organization, physical and e-mail addresses. Two versions of 
the papers should be submitted with and without the authors' information and 
bio-sketches. The latter will be used during the double-blind review 
processes.

      The paper title, author information, and section headings should be 
center justified, while all others should be justified on both sides. The 
first line of each paragraph should have an indent of 1 cm, and one line 
space is used before and after section headings. Each section heading should 
have an Arabic number.

      All the figures and tables should be located at proper locations. 
Figure and table captions should start with "Figure 1." or "Table 1.", 
and should be center-justified. The table captions should be located just 
above the table itself, while figure captions should be located just below 
the figure. 

      All the references should be cited with numbers in brackets, i.e., [1], 
and listed in the order of citation.

      Acknowledgment should be located between the main text and references.  
It is not recommended to use footnotes.
 

References
 
[1]  A.B. Crown, "Neural-based Intelligent Systems," Neural Information 
       Processing - Letters and Reviews, Vol. 1, No. 1, pp. 1-5, 2003.
[2]  D. Evans, Neural Signal Processing, KAIST Press, 2003, pp. 111-124.

James B. Author graduated from the University of Free Academics in 1999, and 
currently a professor of neural systems. His research interest includes 
computational models of human auditory pathway and neural information coding. 
(Home page: http://dns.ufa.ac.kr/~jauthor)

 




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