Berkeley VSOC project has been established to deliver computer-based educational tools for vision science. Our first project is Gabori Attack, a contrast sensitivity test program that is presented as a video game. We have also released VNS, a real-time visual neuron simulator. This allows you to explore receptive fields of artificial visual neurons almost as if you are playing with real neurons in the brain.
Developed by Matthew Peterson and Izumi
Ohzawa
Summary
Gabori Attack is a program for testing contrast sensitivity functions. It is presented as a video game that even a 4-5 year-old can play, but is also instructive for college-level students. The task is to squish "Gaboris" that slowly emerge from the gray background as quickly as possible with mouse clicks. Due to uncertainty of the position, spatial frequency, and reaction time delay, it tends to underestimate contrast sensitivity. Therefore, contrast sensitivity functions obtained will be shifted downward compared with those measured by more rigorous methods.
Disclaimer
Gabori Attack is an educational tool and comes with NO WARRANTY. It has NOT been designed or scientifically tested for use in clinical diagnostics or vision screening for job and drivers license applicants. Any uses other than instructional uses are strongly discouraged.
Download
MacOS:
Dowloading the above file with MS InternetExplorer should create a
self-extracting StuffIt archive named GaboriInstaller.sea in the download
directory or the DeskTop. Double-clicking on it should automatically
create a folder "Gabori Attack". Inside this folder, there is a file
indicated by a Gabor function icon. This is the game program.
Windows:
Download the ZIP file from the above link. Unzipping it will
create a folder named "Gabori". Double-clicking on the gabori.exe
icon will start up the program.
Bugs
Summary
VNS is a real-time visual neuron simulator. This allows you to explore receptive fields of artificial visual neurons almost as if you are playing with real neurons in the brain..
Download
Design Team