1. Home
  2. Knowledge Base
  3. Scientific Research
  4. Dopamine & Neuroscience
  5. Dopamine Reward Prediction Error Coding, Schultz 2016

Dopamine Reward Prediction Error Coding, Schultz 2016

Publication

Wolfram Schultz. Dopamine reward prediction error coding. Dialogues in Clinical Neuroscience 18:23–32 (2016). [19]

Site summary — not the original abstract

Schultz’s review describes reward-prediction-error signaling: many dopamine neurons respond more to better-than-expected rewards, remain near baseline for fully predicted rewards, and reduce activity when rewards are worse than expected, drawing on human, monkey, and rodent research. [19]

In this account, a fully predicted reward need not produce a new prediction-error signal, while an already learned behavior can continue; this is not the claim that expected rewards cannot support behavior. [19]

The article explains a learning mechanism rather than testing a dog-training protocol, and it does not establish the site’s former claims about obedience, training efficiency, or a stronger human–dog bond. [19]

Full publication

Read or download the full publication (PDF)

Article Attachments

Related Articles

Responses