Optimal Decision Making on the Basis of Evidence Represented in Spike Trains

@article{Zhang2010OptimalDM,
  title={Optimal Decision Making on the Basis of Evidence Represented in Spike Trains},
  author={Jiaxiang Zhang and Rafal Bogacz},
  journal={Neural Computation},
  year={2010},
  volume={22},
  pages={1113-1148}
}
Experimental data indicate that perceptual decision making involves integration of sensory evidence in certain cortical areas. Theoretical studies have proposed that the computation in neural decision circuits approximates statistically optimal decision procedures (e.g., sequential probability ratio test) that maximize the reward rate in sequential choice tasks. However, these previous studies assumed that the sensory evidence was represented by continuous values from gaussian distributions… CONTINUE READING
Highly Cited
This paper has 26 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 16 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 61 references

Information theory of choice reaction time

  • D. Laming
  • 1968
Highly Influential
7 Excerpts

Sequential analysis. New York: Wiley

  • A. Wald
  • 1947
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…