@Article{Pouget2000,
  author   = {Alexandre Pouget and Peter Dayan and Richard S Zemel},
  journal  = {Nat Rev Neurosci},
  title    = {Information processing with population codes.},
  year     = {2000},
  number   = {2},
  pages    = {125-32},
  volume   = {1},
  abstract = {Information is encoded in the brain by populations or clusters of
	cells, rather than by single cells. This encoding strategy is known
	as population coding. Here we review the standard use of population
	codes for encoding and decoding information, and consider how population
	codes can be used to support neural computations such as noise removal
	and nonlinear mapping. More radical ideas about how population codes
	may directly represent information about stimulus uncertainty are
	also discussed.},
  keywords = {Animals, Brain, Human, Likelihood Functions, Mental Processes, Models, Neurological, Neurons, Nonlinear Dynamics, 11252775},
}

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