PupilQuest: Modelling of the Pupillary Pathway
Derived from models of neural networks, a model for the pupillary pathway is introduced that can easily be handled computationally and analytically. To model the binocular pupillary reactions we use a feed-forward network, namely, a multi-layered perception. It is possible to calculate the pupillary reactions analytically as a function of the light stimuli of the retinal hemifields, on the one hand, and the set of neural couplings between the neural layers, on the other. Several lesions, e.g., lesions of the intercalated neurons between the afferent and efferent pupillary pathways, can be simulated within the model and the corresponding pupillary reactions such as anisocoria or relative afferent pupillary defects (RAPD) can be calculated analytically. Due to its neural network structure the model described herein can easily be extended to much more complex pupillary pathways while remaining calculable computationally and analytically.
Biological model of the human pupillary pathway
Abstract neural net model of the human pupillary pathway
Computer simulation utility "PupilQuest"
(Available for PCs with MS-Excel only!)
How to work with "PupilQuest v1.1.xls":
1. Create a subdirectory of your choice
2. Copy the file "pupilquest.zip" to that subdirectory
3. Extract the file "PupilQuest v1.1.xls" by unzipping the file "pupilquest.zip"
4. Start MS-Excel and load "PupilQuest v1.1.xls" or double click on
Wolfgang Fink, Ph. D.
Senior Researcher at Jet Propulsion Laboratory (JPL)
Visiting Research Associate Professor of Ophthalmology at University of Southern California (USC)
Visiting Research Associate Professor of Neurosurgery at University of Southern California (USC)
Visiting Associate in Physics at California Institute of Technology (Caltech)
California Institute of Technology
Visual and Autonomous Exploration Systems Research Laboratory
15 Keith Spalding (corner of E. California Blvd & S. Wilson Ave)
Mail Code 103-33
Pasadena, CA 91125