Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2005-06-22
Nonlinear Sciences
Adaptation and Self-Organizing Systems
This is an extended version of one which is submitted to Physics D. The first version underwent some improvement (organization
Scientific paper
Here, I present a novel method for normalizing a finite set of numbers, which is studied by the domain of biological vision. Normalizing in this context means searching the maximum and minimum number in a set and then rescaling all numbers such that they fit into a numerical interval. My method computes the minimum and maximum number by two pseudo-diffusion processes in separate diffusion layers. Activity of these layers feed into a third layer for performing the rescaling operation. The dynamic of the network is richer than merely performing a rescaling of its input, and reveals phenomena like contrast detection, contrast enhancement, and a transient compression of the numerical range of the input. Apart from presenting computer simulations, some properties of the diffusion operators and the network are analyzed mathematically. Furthermore, a method is proposed for to freeze the model's state when adaptation is observed.
No associations
LandOfFree
Local to Global Normalization Dynamic by Nonlinear Local Interactions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Local to Global Normalization Dynamic by Nonlinear Local Interactions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Local to Global Normalization Dynamic by Nonlinear Local Interactions will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-480767