STATISTICA SINICA

Call for submissions on

STATISTICAL CHALLENGES AND ADVANCES IN BRAIN SCIENCE

Statistics and probability theory play key roles in cutting edge brain

research. Leading

examples include non-linear time series analysis for studying brain

dynamics using

electro/magnetoencephalograms and random field theory in analyzing 3D

neuroimaging

datasets. This special issue will highlight statistical and

probabilistic topics related to all

aspects of brain science, including but not limited to, computational

neuroscience,

neuronal modeling, and structural and functional neuroimaging.

Submissions preferably will provide either methodological or

theoretical advances in the

statistical aspects of brain science or demonstrate applications of

techniques using

statistics in neuroscience. Priority will be given to papers that are

assessed to be,

statistically and scientifically speaking, the most innovative,

comprehensive, and of

interest to a wide readership.

Papers submitted to the special issue will be reviewed according to the

regular procedure

of the journal. Accepted papers will appear in a single issue of

Statistica Sinica, scheduled

for 2008. Please contact John Aston for questions on the suitability

of your paper(s).

Submissions must be made online through the journal site at

http://www3.stat.sinica.edu.tw/statistica/

Please use the LaTeX article template, also available at the above

site, for preparing your

manuscript submission. The deadline for submission is January 31, 2007.

Authors wishing

to receive email alerts as the deadline approachs may contact the

editorial assistant,

Karen Li (Karen at stat.sinica.edu.tw).

Guest Editors:

John Aston, Academia Sinica

Emery Brown, MIT/Massachusetts General Hospital

Keith Worsley, McGill University

Yingnian Wu, UCLA

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**Statistica Sinica endeavors to meet the needs of statisticians faced

with a rapidly changing

world. It publishes significant and original articles that promote the

principled use of

statistics along with related theory and methods in quantitative

studies, essential to modern

technologies and sciences.**