CALL FOR ABSTRACTS
Session Topics:
* vision
* object recognition
* image
understanding
* neural
circuit models
* audition
* neural
system models
* speech
and language
* mathematics
of neural systems
* unsupervised
learning
* robotics
* supervised learning
* hybrid
systems (fuzzy, evolutionary, digital)
* reinforcement
and emotion
* neuromorphic VLSI
* sensory-motor
control
* industrial
applications
* cognition,
planning, and attention
* spatial
mapping and navigation
* other
Contributed abstracts must
be received, in English, by January 31, 2012. Email notification of acceptance
will be provided by February 29, 2012. A
meeting registration fee must accompany each abstract. The fee will be refunded
if the abstract is not accepted for presentation. Fees of accepted abstracts
will be returned upon written request only until April 8, 2012.
Abstracts must not exceed
one 8.5"x11" page in length, with 1" margins on top, bottom, and
both sides in a single-column format with a font of 10 points or larger. The
title, authors, affiliations, surface, and email addresses should begin each abstract.
A separate cover letter should include the abstract title; name and contact
information for corresponding and presenting authors; requested preference for
oral or poster presentation; and a first and second choice from the topics
above, including whether it is biological (B) or technological (T) work
[Example: first choice: vision (T); second choice: neural system models (B)].
Contributed talks will be
15 minutes long. Posters will be displayed for a full day. Overhead, slide, and
computer projector facilities will be available for talks. Accepted abstracts
will be printed in the conference proceedings volume. No extended paper will be
required.
Abstracts should be
submitted electronically as Word files to cindy@bu.edu
using the phrase “16th ICCNS abstract submission” in the subject
line or as paper hard copy (four copies of the abstract with one copy of the
cover letter and the registration form) to Cynthia Bradford,
REGISTRATION INFORMATION: Early registration is recommended using the registration form below. Student registrations must be accompanied by a letter of verification from a department chairperson or faculty/research advisor.