@Article{Platt1999,
  author   = {M. L. Platt and P. W. Glimcher},
  journal  = {Nature},
  title    = {Neural correlates of decision variables in parietal cortex.},
  year     = {1999},
  number   = {6741},
  pages    = {233-8},
  volume   = {400},
  abstract = {Decision theory proposes that humans and animals decide what to do
	in a given situation by assessing the relative value of each possible
	response. This assessment can be computed, in part, from the probability
	that each action will result in a gain and the magnitude of the gain
	expected. Here we show that the gain (or reward) a monkey can expect
	to realize from an eye-movement response modulates the activity of
	neurons in the lateral intraparietal area, an area of primate cortex
	that is thought to transform visual signals into eye-movement commands.
	We also show that the activity of these neurons is sensitive to the
	probability that a particular response will result in a gain. When
	animals can choose freely between two alternative responses, the
	choices subjects make and neuronal activation in this area are both
	correlated with the relative amount of gain that the animal can expect
	from each response. Our data indicate that a decision-theoretic model
	may provide a powerful new framework for studying the neural processes
	that intervene between sensation and action.},
  doi      = {10.1038/22268},
  keywords = {Afferent, Animals, Color Perception, Decision Making, Eye Movements, Fixation, Macaca, Models, Motor Neurons, Neurological, Neurons, Non-U.S. Gov't, Ocular, P.H.S., Parietal Lobe, Probability, Research Support, Reward, U.S. Gov't, 10421355},
}

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