The study aimed to establish a comprehensive computational model of intensity adaptation mechanisms, which predicts key features of experimental responses (1). We elaborated on a previous adaptation model (2) which presents retinal adaptation mechanisms and predicts responses to aperiodic stimuli. The model suggests that the temporal decline in the response of the retinal ganglion cells is a reflection of the adaptation mechanism (“curve shifting”(3)). This adaptation mechanism is applied to each cell receptive-field (RF) region (center and surround) separately, and only then the subtraction operation between the two regions is performed. The elaborated model was tested by simulating various periodic sinusoidal fields, which varied in DC level, and frequency (1-30 Hz). The model's results are in agreement with various psychophysical and physiological findings and predict most of the psychophysical key features (1). Until now, no existing model has been able to predict the key features of the experimental findings (1).
|Original language||American English|
|Title of host publication||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Editors||Tomaso Poggio, Seong-Whan Lee, Heinrich H. Bulthoff|
|Number of pages||10|
|ISBN (Print)||3540675604, 9783540675600|
|State||Published - 2000|
|Event||1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 - Seoul, Korea, Republic of|
Duration: 15 May 2000 → 17 May 2000
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000|
|Country/Territory||Korea, Republic of|
|Period||15/05/00 → 17/05/00|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.