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Correction: A Unifying Probabilistic View of Associative Learning

  • The PLOS Computational Biology Staff

Correction: A Unifying Probabilistic View of Associative Learning

  • The PLOS Computational Biology Staff
PLOS
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There is an error in equation 15, the “discounted time derivative” ht is defined incorrectly. It should read as follows:

“Operationally, the only change from the Kalman filter model described above is to replace the stimulus features xt with their discounted time derivative, ht = xt - γxt+1. To see why this makes sense, note that the immediate reward can be expressed in terms of the difference between two values: (1)

This error does not affect the simulations, which were implemented with the correct definition.

Reference

  1. 1. Gershman SJ (2015) A Unifying Probabilistic View of Associative Learning. PLoS Comput Biol 11(11): e1004567. https://doi.org/10.1371/journal.pcbi.1004567 pmid:26535896