Abstract
Moving stimuli elicit oscillatory responses from retinal ganglion cells at frequencies between 60-100 Hz. We used a computer model of the inner retina to investigate whether the additional firing synchrony resulting from stimulus-evoked high frequency oscillations could contribute to the detection of moving bars. The responses of the model ganglion cells were similar to those of cat alpha cells. Event trains from the model ganglion cells stimulated by moving bars were summed into a threshold detector with a short integration window (2-4 msec) whose output was classified by an ideal observer. To isolate the contribution from firing correlations, the model ganglion cells were replaced by independent Poisson generators with matched time-dependent event rates. Compared to this control, firing correlations between the model ganglion cells allowed for improved detection of moving stimuli.
Original language | English (US) |
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Pages | 1274-1279 |
Number of pages | 6 |
State | Published - 2003 |
Event | International Joint Conference on Neural Networks 2003 - Portland, OR, United States Duration: Jul 20 2003 → Jul 24 2003 |
Other
Other | International Joint Conference on Neural Networks 2003 |
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Country/Territory | United States |
City | Portland, OR |
Period | 7/20/03 → 7/24/03 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence