How to compare two quantities? A computational model of flutter discrimination

J Cogn Neurosci. 2007 Mar;19(3):409-19. doi: 10.1162/jocn.2007.19.3.409.


A task that has been intensively studied at the neural level is f lutter discrimination. I argue that f lutter discrimination entails a combination of a temporal assignment problem and a quantity comparison problem, and propose a neural network model of how these problems are solved. The network combines unsupervised and one-layer supervised training. The unsupervised part clusters input features (stimulus + time window) and the supervised part categorizes the resulting clusters. After training, the model shows a good fit with both neural and behavioral properties. New predictions are outlined and links with other cognitive domains are pointed out.

MeSH terms

  • Algorithms
  • Artificial Intelligence
  • Computer Simulation
  • Decision Making / physiology
  • Discrimination, Psychological / physiology*
  • Models, Neurological*
  • Neural Networks, Computer
  • Neurons / physiology
  • Photic Stimulation
  • Reproducibility of Results
  • Touch / physiology*
  • Vibration*