A Neural Substrate of Prediction and Reward¶
Schultz, W., Dayan, P., & Montague, P. R. (1997). A Neural Substrate of Prediction and Reward. Science, 275(5306), 1593-1599.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Conditioning (Behavioral)
This sourceDemonstrates that midbrain dopamine neurons encode a reward-prediction-error signal matching the temporal-difference learning rule, linking biological conditioning and computational reinforcement learning.
- Neuromodulation
- The neuroscience parallel maps role-for-role: dopamine carries no sensory or motor content but sets the gain and plasticity of the circuits that do, reaching many targets diffusely and slowly, and its dysregulation (Parkinson's, addiction) presents as the content channel becoming unmoderated rather than absent.
This sourceShows dopamine carries a reward-prediction-error signal that reshapes learning (circuit gain and plasticity) without carrying sensory/motor content — the canonical dopamine-as-modulator demonstration.
Supported in partVerified against the publisher's abstract
The paper's abstract establishes dopaminergic reward-prediction-error signalling that reshapes learning, but not the claim's clauses about diffuse/slow reach, absence of sensory-motor content, or Parkinson's/addiction.
“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.”
- The neuroscience parallel maps role-for-role: dopamine carries no sensory or motor content but sets the gain and plasticity of the circuits that do, reaching many targets diffusely and slowly, and its dysregulation (Parkinson's, addiction) presents as the content channel becoming unmoderated rather than absent.
- Reinforcement
- In neuroscience, dopamine functions as a reward-prediction-error signal driving reward-circuit plasticity, with Hebbian "neurons that fire together wire together" as a substrate-level analogue.
This sourceShows midbrain dopamine neurons encode a reward-prediction error, linking animal-learning theory to neuroscience and to temporal-difference learning.
Supported in partVerified against the publisher's abstract
The abstract supports dopamine neurons signalling reward-prediction errors, but it does not state that this drives reward-circuit plasticity or that Hebbian learning is a substrate-level analogue.
“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.”
- In neuroscience, dopamine functions as a reward-prediction-error signal driving reward-circuit plasticity, with Hebbian "neurons that fire together wire together" as a substrate-level analogue.
- Reward Prediction Error
- Midbrain dopamine responses and temporal-difference learning supply canonical biological and computational realizations of this role.
Supported in partVerified against the publisher's abstract
The publisher abstract states that dopaminergic neurons signal errors in predictions of future rewards and that such findings are understood through quantitative adaptive-optimizing-control theories, i.e. the biological half of the claim.
“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.”
- Midbrain dopamine responses and temporal-difference learning supply canonical biological and computational realizations of this role.
Verification¶
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Does it back the claim? Read against the text for 3 of 4 citations: 3 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
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Registry ID ref:167087e4ec5b · see in the full table