Probabilistic Interpretation of Population Codes

  title={Probabilistic Interpretation of Population Codes},
  author={Richard S. Zemel and Peter Dayan and Alexandre Pouget},
  journal={Neural Computation},
We present a general encoding-decoding framework for interpreting the activity of a population of units. A standard population code interpretation method, the Poisson model, starts from a description as to how a single value of an underlying quantity can generate the activities of each unit in the population. In casting it in the encoding-decoding framework, we find that this model is too restrictive to describe fully the activities of units in population codes in higher processing areas, such… CONTINUE READING
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