Perceptual Decision-Making: Biases in Post-Error Reaction Times Explained by Attractor Network Dynamics

  title={Perceptual Decision-Making: Biases in Post-Error Reaction Times Explained by Attractor Network Dynamics},
  author={Kevin Berlemont and Jean-Pierre Nadal},
  journal={The Journal of Neuroscience},
  pages={833 - 853}
Perceptual decision-making is the subject of many experimental and theoretical studies. Most modeling analyses are based on statistical processes of accumulation of evidence. In contrast, very few works confront attractor network models' predictions with empirical data from continuous sequences of trials. Recently however, numerical simulations of a biophysical competitive attractor network model have shown that such a network can describe sequences of decision trials and reproduce repetition… 
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