Attentional Modulation of Human Pattern Discrimination Psychophysics Reproduced by a Quantitative Model
Itti, Laurent, Braun, Jochen, Lee, Dale K., Koch, Christof
–Neural Information Processing Systems
We previously proposed a quantitative model of early visual processing inprimates, based on non-linearly interacting visual filters and statistically efficient decision. We now use this model to interpret theobserved modulation of a range of human psychophysical thresholds with and without focal visual attention. Our model - calibrated by an automatic fitting procedure - simultaneously reproduces thresholdsfor four classical pattern discrimination tasks, performed while attention was engaged by another concurrent task. Our model then predicts that the seemingly complex improvements of certain thresholds, which we observed when attention was fully available for the discrimination tasks, can best be explained by a strengthening of competition among early visual filters. 1 INTRODUCTION What happens when we voluntarily focus our attention to a restricted part of our visual field? We here investigate the possibility that attention might have a specific computational modulatory effect on early visual processing.
Neural Information Processing Systems
Dec-31-1999
- Country:
- North America > United States > California (0.14)
- Industry:
- Health & Medicine > Therapeutic Area > Oncology (0.61)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (0.46)
- Vision (0.58)
- Information Technology > Artificial Intelligence