Generating New Network Analysis Tools for Elucidating the Functional Logic of 3D Vision Ci — NSF Award to Columbia University (NY,
Stereopsis—the ability to perceive depth—is one of the most intriguing mysteries of human perception. Understanding how human 3D vision works would have broad social impacts, affecting a wide variety of fields, ranging from drug testing, psychology, and information sciences to machine vision and autonomous robotics. Sc
| Award title | Generating New Network Analysis Tools for Elucidating the Functional Logic of 3D Vision Ci |
|---|---|
| Award ID | 2400687 |
| Awardee | Columbia University |
| City | NEW YORK |
| State | NY |
| Amount obligated | $1,140,828 |
| Principal investigator | Aurel Lazar |
| Program | Innovation: Bioinformatics |
| Start date | 08/01/2024 |
| Abstract | Stereopsis—the ability to perceive depth—is one of the most intriguing mysteries of human perception. Understanding how human 3D vision works would have broad social impacts, affecting a wide variety of fields, ranging from drug testing, psychology, and information sciences to machine vision and autonomous robotics. Scientists suspect that one of the mechanisms that makes 3D vision work is the “microsaccade”—the small-scale motion constantly made by human eyes. But the relationship between micro |
| Source | NSF Awards |
$799/mo
Try NSFGrants →