[visionlist] NETI 2012, workshop at UT Austin

[Bill Geisler]

NETI 2012

The Center for Perceptual Systems at the University of Texas at 
Austin is hosting the third workshop on "Natural Environments, Tasks 
and Intelligence" (http://www.cps.utexas.edu/neti2012/).

Dates:  April 20-22, 2012

Purpose:  Perceptual and motor systems must reflect the natural tasks 
the organism performs as well as the properties of the natural 
environments in which the organism performs those tasks. Thus, the 
aim of this workshop is to stimulate research in "natural systems 
analysis," which consists of several interrelated components: (i) 
identification and characterization of natural tasks, (ii) 
measurement and analysis of natural scene statistics, (iii) analysis 
of the computational requirements of natural tasks, (iv) rigorous 
experimental study of neural and behavioral performance in natural tasks.

Organizers: Bill Geisler, Mary Hayhoe, and Dana Ballard

Speakers:


Dana Ballard (University of Texas at Austin )
Vijay Balsubramanian (University of Pennsylvania)
Jack Gallant (University of California at Berkeley)
Karl Gegenfurtner (Giessen University)
Jackie Gottlieb (Columbia University)
Mitra Hartmann (Northwestern University)
Mary Hayhoe (University of Texas at Austin)
Alex Huk (University of Texas at Austin)
Robbie Jacobs (University of Rochester)
Eileen Kowler (Rutgers University)
Mike Landy (New York University)
Leslie Osborne (University of Chicago)
Jose Pena  (Albert Einstein Medical School)
John Reynolds (Salk Institute)
Helge Ritter (University of Bielefeld)
Ranulfo Romo  (National Autonomous University of Mexico)
Sara Wooley (Columbia University)


In addition to the oral presentations there will also be a poster 
session. Potential attendees are encouraged to register in advance as 
the size of the workshop will be restricted to foster interaction 
among attendees.

Registration deadline: March 19, 2012

Spring in Austin is a glorious time of year with wildflowers in bloom 
and an average temperature ranging from 51 F (11 C) low to 72 F (22 C) high.