Visual Perception of Depth-from-Occlusion: A Neural Network Model
Abstract
This report covers research activity during the three month period from 6/1/90 to 9/1/90. We have been engaged in several preparatory projects aimed at developing a biologically-based model of how the visual cortex extracts depth-from-occlusion. Our major effort has focused on writing software for a large-scale neural network simulator. This simulator, which is now nearing testing phase, will allow the simulation of physiologically based networks of hundreds of thousands of interconnected cells. The simulator features a graphical user interface that controls the building, analyzing, running, and monitoring of multiple interconnected networks. The states of neurons (voltage, firing rate, ion concentrations, etc.) can be displayed in a variety of graphical formats depending upon the type of data required. We feel that, when complete, this package will be the most useful tool available to the community for simulating large, mapped networks.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 10, 1990
- Accession Number
- ADA249771
Entities
People
- Leif H. Finkel
Organizations
- University of Pennsylvania