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Science· 1997Q1

A Neural Substrate of Prediction and Reward

Wolfram Schultz, Peter Dayan, P. Read Montague

Short summary

Dopaminergic neurons in primates signal prediction errors for future rewards, providing a neural basis for learning and adaptive control.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Dopaminergic neurons in primates show fluctuating output.
  • This output signals changes or errors in predictions of future rewards.
  • These signals provide a neural basis for learning driven by expectations.
  • Findings align with quantitative theories of adaptive optimizing control.

AI-generated from the title and abstract; the full text is not read.

Abstract

The capacity to predict future events permits a creature to detect, model, and manipulate the causal structure of its interactions with its environment. Behavioral experiments suggest that learning is driven by changes in the expectations about future salient events such as rewards and punishments. Physiological work has recently complemented these studies by identifying dopaminergic neurons in the primate whose fluctuating output apparently signals changes or errors in the predictions of future salient and rewarding events. Taken together, these findings can be understood through quantitative theories of adaptive optimizing control.

The authors' abstract, as published at the source. Science, 1997 · DOI ↗

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Field: Cognitive Neuroscience

Cognitive NeuroscienceNeuroscience