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        <title>Reinforcement Learning in the Brain</title>
        <author>Yael Niv</author>
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        <bibl>
          <title>Reinforcement Learning in the Brain</title>
          <date>2009</date>
          <publisher>Journal of Mathematical Psychology</publisher>
          <idno type="DOI">10.1016/j.jmp.2008.12.005</idno>
          
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          <note type="rights">open-access</note>
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        <label>mechanism</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t1" type="phenomenon" ana="#phenomenon" resp="#paper">
        <label>reward prediction error signalling by midbrain dopamine neurons</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>review</label>
        <term>review</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t3" type="mechanisms" ana="#mechanisms[0]" resp="#tagger">
        <label>mechanisms</label>
        <term>the temporal-difference reward prediction error as the brain learning signal (carried by dopamine)</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t4" type="limitations" ana="#limitations[0]" resp="#tagger">
        <label>the RL framework of learning has limitations and open questions</label>
        <note>what this limits: the review&#x27;s own scope: it sets out to discuss Quotation withheld rather than to defend it</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>The RL framework owes its success partly to being deliberately oversimplified.</label>
        <note>what this limits: any reading of the framework&#x27;s explanatory success as evidence for its mechanisms: ONE OF THE REASONS THAT RL MODELS HAVE BEEN SUCCESSFUL IS THAT THEY ARE HIGHLY SIMPLIFIED MODELS ... ESCHEWING THE NECESSARY COMPLEXITIES</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>TD learning depends critically on temporal representations and breaks down under realistic timing noise.</label>
        <note>what this limits: any application of TD learning under realistic timing: SIMPLE VARIANTS OF TD LEARNING ARE EXTREMELY SENSITIVE TO TIMING NOISE, WITH EVEN VERY SMALL AMOUNTS OF NOISE DEVASTATING THE PREDICTIVE POWER OF THE MODEL</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>Basic conditioning phenomena such as extinction and conditioned inhibition still lack adequate models within the framework.</label>
        <note>what this limits: the coverage of the framework over basic conditioning: EVEN SIMPLE EXPERIMENTAL PARADIGMS SUCH AS EXTINCTION ... AND CONDITIONED INHIBITION ... DO NOT YET HAVE SATISFACTORY COMPUTATIONAL MODELS</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>The human fMRI evidence reviewed rests on a signal whose neural basis is not understood.</label>
        <note>what this limits: the human fMRI evidence reviewed: THE NEURAL UNDERPINNINGS OF THE MEASURED BLOOD OXYGEN LEVEL DEPENDENT (BOLD) SIGNAL ARE UNCLEAR</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t9" type="limitations" ana="#limitations[5]" resp="#tagger" cert="1.0">
        <label>The paper names the inference its measurements do not license, not merely the uncertainty.</label>
        <note>what this limits: any reading of a BOLD prediction-error signal as dopamine: the authors state that one cannot interpret BOLD measurements as reflecting dopaminergic activity per se, despite dopamine&#x27;s possible direct effect on the signal</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t10" type="limitations" ana="#limitations[6]" resp="#tagger" cert="1.0">
        <label>The framework used to interpret animal conditioning is a normative one.</label>
        <note>what this limits: any claim that animal conditioning behaves as RL predicts: RL is described as providing a normative framework within which conditioning is analysed and interpreted</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t11" type="limitations" ana="#limitations[7]" resp="#tagger" cert="1.0">
        <label>The imaging evidence is stated to have a ceiling, with the remedy named.</label>
        <note>what this limits: any conclusion about RL&#x27;s neural basis drawn from fMRI alone: the authors state that fMRI results can reveal only so much</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>reinforcement learning used as a normative framework to model brain decision-making</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t13" type="concepts" ana="#concepts[4]" resp="#paper">
        <label>BOLD measurements</label>
        <term>BOLD measurements</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>dopaminergic activity</label>
        <term>dopaminergic activity</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>normative framework</label>
        <term>normative framework</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>animal conditioning</label>
        <term>animal conditioning</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>caveats</label>
        <term>caveats</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>RL → animal conditioning</label>
        <note>the first is the NORMATIVE FRAMEWORK WITHIN WHICH the second is analysed and interpreted - a lens applied to a phenomenon. It is not &#x27;operationalised-as&#x27; (the phenomenon is not measured as the framework), not &#x27;causes&#x27;, not &#x27;is-a&#x27;, and not &#x27;part-of&#x27;; the relation is &#x27;X is the standard by which Y is read&#x27; — note: STILL UNHOUSED, and the instance that shows the failure mode. Short of a type I wrote &#x27;normative framework --operationalised-as--&gt; animal conditioning&#x27;, which is BACKWARDS, and it passed every automatic check; I caught it at the read-back and dropped the edge. kahneman-tversky1979 states the same structure for expected utility theory - accepted as a normative model, applied as a descriptive one - so a type for it would have at least two attestations in this corpus already.</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>the BOLD signal, here - NOT A DOPAMINE MEASUREMENT: dopamine may affect BOLD directly, and the authors state one still cannot interpret BOLD as reflecting dopaminergic activity per se, so the prediction-error signal seen in human imaging and the dopaminergic signal recorded in animals are two different measurements that the review keeps apart</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t20" type="senses" ana="#senses[1]" resp="#tagger" cert="1.0">
        <label>the caveat&#x27;s symmetry - STATED IN BOTH DIRECTIONS: the same coupling that makes BOLD hard to interpret makes dopamine worth measuring directly, and the paper says so rather than reporting only the half that limits it</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>the RL framework - NORMATIVE, AND USED INTERPRETIVELY: it provides a framework for what an optimal agent should do, and is applied to analyse and interpret what animals actually did; the same structure kahneman-tversky1979 names for expected utility theory, which is accepted as a normative model and applied as a descriptive one</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t22" type="claim_relations" ana="#claim_relations[0]" resp="#tagger">
        <label>builds-on → reinforcement learning (from AI/ML)</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t23" type="claim_relations" ana="#claim_relations[1]" resp="#tagger">
        <label>extends → the Rescorla-Wagner model</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>builds-on → average reward reinforcement learning in a semi-Markov decision process (Schwartz, 1993; Doya, 2000; Daw &amp; Touretzky, 2002)</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t25" type="claim_relations" ana="#claim_relations[3]" resp="#tagger">
        <label>extends → the Rescorla-Wagner model of Pavlovian conditioning (Rescorla &amp; Wagner, 1972)</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t26" type="claim_relations" ana="#claim_relations[4]" resp="#tagger">
        <label>contradicts → the &quot;dopamine equals reward&quot; hypothesis (Wise et al., 1978)</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>BOLD measurements —distinct-from→ dopaminergic activity</label>
        <term>BOLD measurements</term>
        <term>dopaminergic activity</term>
        <note>strength of the relation: 1</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t28" type="content_tags" ana="#content_tags.quantities[0]" resp="#tagger">
        <label>3 — what RL models provide (predictions, method, computations)</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t29" type="content_tags" ana="#content_tags.quantities[1]" resp="#tagger">
        <label>2 — Pavlovian and instrumental conditioned behavior</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t30" type="content_tags" ana="#content_tags.quantities[2]" resp="#tagger">
        <label>2 — why normative models appeal</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t31" type="content_tags" ana="#content_tags.findings[0]" resp="#tagger">
        <label>dopamine conveys a reward prediction error influencing learning</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t32" type="content_tags" ana="#content_tags.findings[1]" resp="#tagger">
        <label>the key RL neural signal is the temporal-difference reward prediction error</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t33" type="content_tags" ana="#content_tags.findings[2]" resp="#tagger">
        <label>RL provides a normative framework for conditioned behavior</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t34" type="content_tags" ana="#content_tags.findings[3]" resp="#tagger">
        <label>neural evidence discriminates between competing learning models</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t35" type="content_tags" ana="#content_tags.variables[0]" resp="#tagger">
        <label>reward prediction error</label>
        <term>reward prediction error</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t36" type="content_tags" ana="#content_tags.variables[1]" resp="#tagger">
        <label>phasic signals</label>
        <term>phasic signals</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t37" type="content_tags" ana="#content_tags.variables[2]" resp="#tagger">
        <label>scalar reinforcement signal</label>
        <term>scalar reinforcement signal</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>action selection</label>
        <term>action selection</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t39" type="content_tags" ana="#content_tags.definitions[0]" resp="#tagger">
        <label>reinforcement learning</label>
        <term>reinforcement learning</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>Pavlovian conditioning</label>
        <term>Pavlovian conditioning</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <span xml:id="t41" type="content_tags" ana="#content_tags.definitions[2]" resp="#tagger">
        <label>instrumental conditioning</label>
        <term>instrumental conditioning</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>normative model</label>
        <term>normative model</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>bootstrap</label>
        <term>bootstrap</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>mean</label>
        <term>mean</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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        <label>standard-deviation</label>
        <term>standard-deviation</term>
        <note>about this quote: QUOTE REPAIRED: the extractor split a hyphen-space and the quote was recorded faithfully with the damage in it, which made it unanchorable. The repaired string is an EXACT SUBSTRING of the staged text - that is why it was accepted, not because a rule produced it. The text as originally recorded is kept in evidence as extracted.</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
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      <p><note type="rights">The full text of this article is not redistributable, so it is
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      grounding status remain. The article itself is at https://doi.org/10.1016/j.jmp.2008.12.005.</note></p>
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