Diffusive Information Accumulation by Minimal Recurrent Neural Models of Decision Making

@article{Smith2011DiffusiveIA,
  title={Diffusive Information Accumulation by Minimal Recurrent Neural Models of Decision Making},
  author={Philip L. Smith and Cameron R. L. McKenzie},
  journal={Neural Computation},
  year={2011},
  volume={23},
  pages={2000-2031}
}
An important class of psychological models of decision making assumes that evidence is accumulated by a diffusion process to a response criterion. These models have successfully accounted for reaction time (RT) distributions and choice probabilities from a wide variety of experimental tasks. An outstanding theoretical problem is how the integration process that underlies diffusive evidence accumulation can be realized neurally. Wang (2001, 2002) has suggested that long timescale neural… CONTINUE READING
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