[visionlist] Journal of Vision: Special Issue: Finding Visual Features

Journal of Vision announcements at journalofvision.org
Tue Jan 4 04:06:40 GMT 2005


Journal of Vision – Call for Papers   –   Special Issue

Finding visual features:

Using stochastic stimuli to discover internal representations

 

In recent years psychophysicists have developed techniques for
correlating noisy stimuli with behavioral decisions ('classification
images') while neuroscientists have developed related techniques for
correlating noisy stimuli with neural responses ('reverse correlation'),
both in an effort to infer the internal features that mediate
perception. At the same time, cognitive scientists have been testing
mathematical models of how observers make categorical decisions about
noisy stimuli. And in parallel, computer scientists, mathematicians, and
statisticians have been developing efficient algorithms and optimal
methods for classifying noisy targets into categories defined by humans,
and for identifying the stimulus properties that evoke neural responses.
In December, 2004, a Neural Information Processing Society (NIPS)
workshop brought together researchers from these fields to share and
discuss these diverse approaches to solving their common problem of
feature induction.

This special issue of the Journal of Vision is designed to allow full
expression of these ideas, and to encourage additional work in this
area. We invite articles on the general theme of induction of internal
features from noisy response data. We emphasize that contributors are
not restricted to participants at the NIPS 2004 workshop. We encourage
submission of original research, reviews, and theoretical commentaries. 

Appropriate topics include, but are not limited to:

*	Higher-order and non-linear classification image techniques 
*	Neural reverse correlation techniques to extract higher-order
kernels 
*	Computational algorithms to infer features from noisy
classification data 
*	Methods for using fine-grained behavioral measures (e.g.,
confidence ratings, reaction times) to improve feature inference 

Guest Editors: 

Jason M. Gold          Indiana University, Bloomington
jgold at indiana.edu <mailto:jgold at indiana.edu> 

Richard Shiffrin        Indiana University, Bloomington
shiffrin at indiana.edu <mailto:shiffrin at indiana.edu> 

James Elder               York University, Toronto
jelder at yorku.ca

Jack Gallant              University of California, Berkeley
gallant at socrates.berkeley.edu

Deadline for submission: June 1, 2005 

Target publication date: October 1, 2005

Journal of Vision is an open-access online journal that encourages the
use of images, color, movies, hyperlinks, demonstrations, original
datasets, and other digital enhancements. To submit a paper to this
special issue please follow the Instructions for Authors
<http://journalofvision.org/info/info_for_authors.aspx>  at
http://journalofvision.org/info/instructions.pdf.

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