[Comp-neuro] The second issue of Natural Intelligence: the INNS Magazine

The second issue of Natural Intelligence: the INNS Magazine is now on the web

at www.inns.org and www.ni-inns.info (user-friendly version).

Natural Intelligence is the official magazine of INNS (International
Neural Network Society).

We define "Natural Intelligence" to include both "intelligence
existing in nature" and
"intelligence based on the state of things in nature". Therefore, the
new INNS magazine
"Natural Intelligence" plans to cover

- experiments
- computational models
- applications

of the intelligent functions in our brains.

Also, there is an important need for well-written introductory papers targeting
both young and established researchers from other academic backgrounds.
The interdisciplinary nature of the many new emerging topics makes
these introductory
papers essential for research on Natural Intelligence.
Therefore, the new INNS magazine will mainly publish

- review papers
- white papers
- tutorials.

In addition, columns, news, and reports on the communities will also
be included.

YOUR SUBMISSION IS WELCOME.
------------------------------------------------

TABLE OF CONTENTS: WINTER 2012

PAPERS

NI Can Do Better Compressive Sensing
by Harold Szu

Evolving, Probabilistic Spiking Neural Networks and Neurogenetic Systems
for Spatio- and Spectro-Temporal Data Modelling and Pattern Recognition
by Nikola Kasabov

Biologically Motivated Selective Attention Model
by Minho Lee

CASA: Biologically Inspired Approaches for Auditory Scene Analysis
By Azam Rabiee, Saeed Setayeshi, and Soo-Young Lee

COLUMNS
A Message from the INNS Vice President for Membership

NEWS
2012 INNS Awards
2012 INNS New Members at the Board of Governors

CALL FOR PAPERS
Call for Abstracts: Neuroscience & Neurocognition, IJCNN2012,
2012 International Joint Conference on Neural Networks, Brisbane, Australia
WIRN 2012, 22nd Italian Workshop on Neural Networks, Salerno, Italy

--
Soo-Young Lee, Editor-in-Chief, NI
Director, Brain Science Research Center, KAIST
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