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Neural Information Processing Systems - Natural and Synthetic

Denver, Colorado, Monday, Nov. 27 - Saturday, Dec. 2, 1995

The full version of this Call for Papers is available.

This is an interdisciplinary conference which brings together neuroscientists, engineers, computer scientists, cognitive scientists, physicists, and mathematicians interested in all aspects of neural processing and computation. The conference will include invited talks, and oral and poster presentations of refereed papers. There will also be one day of tutorial presentations (Nov. 27) preceding the regular session, and two days of focused workshops will follow at a nearby ski area (Dec. 1-2). Major categories for paper submssion are: Neuroscience; Theory; Implementation; Algorithms and Architectures; Visual Processing; Speech, Handwriting and Signal Processing; Applications; Cognitive Science & AI; Control, Navigation, and Planning;

Review Criteria: All papers will be refereed on the basis of technical quality, novelty, significance, and clarity. Submissions should contain new results that have not been published previously.

Submission: Send six copies of papers to the address below; electronic or Fax submission is not acceptable. Include one additional copy of the abstract only, to be used for preparation of the abstracts booklet distributed at the meeting. Submissions mailed first-class from within the US or Canada, or sent from overseas via Federal Express / Airborne / DHL or similar carrier must be postmarked by May 20, 1995. All other submissions must arrive by this date. Mail submissions to:

Michael Mozer, NIPS*95 Program Chair
Department of Computer Science, University of Colorado
Colorado Avenue and Regent Drive, Boulder, CO 80309-0430, USA

Prospective authors should consult the detailed submission information in the full version of this announcement mentioned above.

Further Information NIPS'95 Registration, nips95@mines.colorado.edu

Dep't of Mathematical & Computer Sciences, Colorado School of Mines
Golden, CO 80401 USA. Fax: (303) 273-3875.