@article{Itti_etal99nc,
  author = {L. Itti and C. Koch and J. Braun},
  title = {A Quantitative Model Relating Visual Neuronal Activity to Psychophysical Thresholds},
  journal = {Neurocomputing},
  number = {26-27},
  pages = {743-748},
  month = {Jun},
  year = {1999},
  keywords = {early vision ; model ; divisive inhibition ; non-linear interactions ; masking},
  abstract = {We investigate how a simple, physiologically motivated three-stage neuronal model can establish a quantitative relationship between activities in small populations of simulated early visual neurons and human psychophysical thresholds. The model consists of: First, a bank of linear filters tuned for orientation and spatial period; second, non-linear interactions between filters; and, third, a statistically efficient decision stage. The model quantitatively reproduces human thresholds for five classical pattern discrimination tasks, using a unique set of automatically determined parameters. The resulting model components are all plausible in terms of putative neuronal correlates.},
  type = {mod;psy},
  file = {http://iLab.usc.edu/publications/doc/Itti_etal99nc.pdf},
  if = {1998 impact factor: 0.453},
}