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Reinforcement Learning: Computing the Temporal Difference of Values via Distinct Corticostriatal Pathways (Trends in Neurosciences 35, 457–467; 2012)

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The authors regret that they mischaracterized the composition of two cell populations in the ventral tegmental area (VTA) in the discussion within Box 1 of the original article. We would… Click to show full abstract

The authors regret that they mischaracterized the composition of two cell populations in the ventral tegmental area (VTA) in the discussion within Box 1 of the original article. We would like to correct the following sentence on page 465, Box 1. Outstanding Questions. First bullet point under the heading “Reward prediction error signals in different regions”:“Dopamine neurons in the VTA have also been suggested to represent TD error [3,6,7,9]. We speculate that the two populations of VTA GABAergic cells…” should read: “Dopamine neurons in the VTA have also been suggested to represent TD error [3,6,7,9]. We speculate that the two populations of VTA cells (GABAergic and unidentified)…”The authors apologize for any inconvenience this has caused.

Keywords: computing temporal; reinforcement learning; difference values; learning computing; trends neurosciences; temporal difference

Journal Title: Trends in Neurosciences
Year Published: 2017

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