Name
Abstract | ||
|---|---|---|
The extraction of the direction of motion from the time varying retinal images is one of the most basic tasks any visual system is confronted with. However, retinal images are severely corrupted by photon noise, in particular at low light levels, thus limiting the performance of motion detection mechanisms of what sort so ever. Here, we study how photon noise propagates through an array of Reichardt-type motion detectors that are commonly believed to underlie fly motion vision. We provide closed-form analytical expressions of the signal and noise spectra at the output of such a motion detector array. We find that Reichardt detectors reveal favorable noise suppression in the frequency range where most of the signal power resides. Most notably, due to inherent adaptive properties, the transmitted information about stimulus velocity remains nearly constant over a large range of velocity entropies. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s10827-005-5906-3 | Journal of Computational Neuroscience |
Keywords | Field | DocType |
Power Spectrum,Information Rate,Steady State Response,Noise Power Spectrum,Photon Noise | Structure from motion,Photon,Noise floor,Motion detection,Optics,Motion detector,Spectral density,Detector,Steady state (electronics),Physics | Journal |
Volume | Issue | ISSN |
20 | 2 | 0929-5313 |
Citations | PageRank | References |
1 | 0.48 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Shi | 1 | 51 | 9.08 |
| Alexander Borst | 2 | 87 | 9.10 |