Dr. Peter Földiák
Psychological Laboratory,
University of St. Andrews,
St. Andrews, U.K.
will speak on
Invariance Learning
Abstract:
We see images but we are interested in objects. The relationship
between an image, and its real causes are usually complex, and trivial
changes in the viewing conditions can cause significant changes in most
simple measures of the image. We need to learn to connect different
representations of the same object, and the temporal coherence of the
natural environment helps to solve this problem. A neural network learning
rule exploiting temporal coherence may also be useful for learning
coordinate transformations for the neural representations of space.
The lecture will take place in the
Lecture Hall, Room 203, 44 Cummington St.
on Tuesday, July 16, 2002
at 1:00 pm
Hosted by the
Brain and Vision Research Laboratory