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  1.  42
    The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks.Rafal Bogacz, Eric Brown, Jeff Moehlis, Philip Holmes & Jonathan D. Cohen - 2006 - Psychological Review 113 (4):700-765.
  2.  47
    Optimality and Some of Its Discontents: Successes and Shortcomings of Existing Models for Binary Decisions.Philip Holmes & Jonathan D. Cohen - 2014 - Topics in Cognitive Science 6 (2):258-278.
    We review how leaky competing accumulators (LCAs) can be used to model decision making in two‐alternative, forced‐choice tasks, and we show how they reduce to drift diffusion (DD) processes in special cases. As continuum limits of the sequential probability ratio test, DD processes are optimal in producing decisions of specified accuracy in the shortest possible time. Furthermore, the DD model can be used to derive a speed–accuracy trade‐off that optimizes reward rate for a restricted class of two alternative forced‐choice decision (...)
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  3. On the neural implementation of optimal decisions.Patrick Simen, Philip Holmes & Jonathan D. Cohen - 2008 - In Ezequiel Morsella, John A. Bargh & Peter M. Gollwitzer (eds.), Oxford handbook of human action. New York: Oxford University Press.
     
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