New Journal: Neural Information Processing - Letters and Reviews

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The first issue of a new journal had been published on-line on October 2003
at http://www.nip-lr.info and http://bsrc.kaist.ac.kr/nip-lr/.

Neural Information Processing - Letters and Reviews
The high-quality rapid publication with double-blind reviews

Table of Contents

Vol.1, No.1, October, 2003

Preface

pp. i-ii
Toward a New Journal with Timeliness, Accessibility, Quality, and Double-Blind Reviews
Soo-Young Lee

Review

pp. 1-52
Independent Component Analysis and Extensions with Noise and Time:
A Bayesian Ying-Yang Learning Perspective
Lei Xu

Letters

pp. 53-59
Extraction and Optimization of Fuzzy Protein Sequences Classification
Rules Using GRBF Neural Networks
Dianhui Wang, Nung Kion Lee, and Tharam S. Dillon

pp. 61-66
Phonological Approach to the Mapping of Semantic Space:
Replication as a Basis for Language Storage in the Cortex
Victor Vvedensky

pp. 67-73
Artificial Neural Networks as Analytic Tools in an ERP Study of Face
Memory
Reiko Graham and Michael R.W. Dawson

===============================================================
Facts of NIP-LR

The goals of the new journal NIP-LR are
    (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 both 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 10 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

The topics include
    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

The journal will consist of
    monthly online publication and
    yearly paper publications.

Authors have all the rights on their papers, and may publish extended
versions of their Letters to other journals.
   
All the submission and review process will be done electronically
with Adobe PDF, Postscript, or MS Word files.
For rapid review process only binary (Accept" or "Reject) decisions
will be made without revision requirements for Letters.
Minor revision may be requested for Review papers.
(Mandatory English editing services may be recommended.)
We also incorporate double-blind review procedure.
(The reviewrs will not know the names of authors.)

All papers should be submitted by e-mail at nip-lr@neuron.kaist.ac.kr to the

Soo-Young Lee, Editor-in-Chief for NIP-LR
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@neuron.kaist.ac.kr, sylee@kaist.ac.kr

Publisher: KAIST Press
Home Page: http://www.nip-lr.info and http://neuron.kaist.ac.kr/nip-lr/

• Previous message: Dieter Jaeger: "Faculty Position in Computational Neuroscience at Emory University"
• In reply to: DeLiang Wang: "Last Reminder: TNN Special issue on temporal coding"
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