Cited by 1,027Visual perception and processing mechanismsNeural dynamics and brain functionNeural and Behavioral Psychology Studies

Representation of Confidence Associated with a Decision by Neurons in the Parietal Cortex

Open access
Kiani, Roozbeh, Shadlen, Michael N.·2009·Science

Abstract

Decisive Monkeys: Decision-making is a central theme in current research in cognitive neuroscience. Behavioral protocols have provided an entry into explorations of the neural processes that underlie decision-making. Empirical studies have provided support for a diffusion model in which information accumulates over time until a threshold is reached, with noisiness in the inputs related to decision errors. Kiani and Shadlen (p. 759 ) developed a behavioral task to study choice certainty and identified the corresponding neuronal representations in monkeys. The monkeys were allowed to choose to opt out of an uncertain, higher reward choice in favor of a certain, lower payoff. The same neurons that encoded the information used to make a choice also encoded the extent of certainty, which in humans would be described as the degree of confidence in one's decision.

AI snapshot

Written from the paper’s full text.

TL;DR

Rhesus monkeys performing a random-dot direction task with a post-decision sure-bet option opted out more often when motion was weak or brief and when lateral intraparietal (LIP) firing rates were intermediate. The same LIP neurons that represented the direction decision also encoded choice certainty, linking decision formation and confidence in one population.

Key findings

  • Monkeys chose the sure target more frequently for weaker motion strengths and shorter stimulus durations (p<10−8) and when the probability of making an error was higher (p<10−8). When they waived the sure bet, direction-choice accuracy was better than on trials without the post-decision wager (p<10−3).
  • In 70 LIP neurons, activity before sure-target onset was intermediate when monkeys later chose the sure target. For motion toward Tin, activity was significantly smaller for Ts choices than Tin choices (p=0.007, ANOVA); for motion toward Topp, activity was significantly larger for Ts choices than Topp choices (p=0.001). The variance for Ts choices was smaller than expected from a mixture of Tin and Topp states (p=4.7×10−5, F-test).
  • Single-trial deviation from an intermediate firing rate was inversely related to the probability of choosing the sure bet (p=2.3×10−5). Residual LIP fluctuations, after accounting for motion strength and direction, also predicted sure-target choice (p=4.0×10−5), and buildup-rate deviation did so as well (p=0.017; not explained by motion strength, p=0.0018).
  • In 19 neurons with the sure target in the response field, activity during motion and delay was not significantly modulated and was uninformative about choosing or forgoing Ts (p>0.1 for both directions). After Ts onset, the visual response was slightly larger when monkeys chose Ts (p<0.01, median difference = 7.7%). A Bayesian sequential-sampling model with three free parameters fit behavior (R2=0.97 and 0.98) and predicted accuracy on waived-Ts trials (R2=0.97).

Methods

  • Two rhesus monkeys made direction decisions about dynamic random-dot motion; difficulty was varied by motion coherence and viewing duration. On a random half of trials, after the motion was extinguished, a sure-target option appeared at least 500 ms later, offering a small certain reward instead of the direction choice.
  • Extracellular recordings were made from 70 LIP neurons with a direction-choice target in the response field, plus 19 neurons with the sure target in the response field. Analyses included population and single-trial logistic regression, ANOVA/F-tests, buildup-rate estimation, and a bounded evidence accumulation/Bayesian sequential sampling model.

Limitations

  • The paper states that the agreement between the model and LIP responses is only approximate, presumably because neurons besides those recorded contribute to certainty, and that a single neuron’s influence on the post-decision wager is expected to be small.
  • The paper does not have a dedicated limitations section. Evident from the text: the neural evidence is correlational, with no causal manipulation; the main neural sample is 70 LIP neurons in two monkeys, with a smaller 19-neuron sample for the sure-target-in-RF configuration; and choice certainty is inferred from post-decision wagering behavior.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1126/science.1169405

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 57 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    The monkeys opted for the sure target when the chance of making a correct decision about motion direction was small.

    “The monkeys opted for the sure target when the chance of making a correct decision about motion direction was small.”
    Quote in the paperSubstantial claim
  • Findingown data

    The monkeys exercised the sure-target option more frequently for weaker motion strengths and shorter stimulus durations.

    “They exercised this option more frequently for the weaker motion strengths and for the shorter stimulus durations (p<10−8, Eq. 1, see (25); Fig. 1B)”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [25] Materials and Methods are available as supporting online material.

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Findingown data

    The improvement in choice accuracy when waiving the sure-target option was apparent at almost all motion strengths and stimulus durations.

    “This improvement was apparent at almost all motion strengths and stimulus durations.”
    Quote in the paperSubstantial claim
  • Findingown data

    For motion toward Tin, neural activity across the population was significantly smaller for Ts choices than for Tin choices.

    “For motion toward Tin, the neural activity across the population was significantly smaller for Ts choices than for Tin choices (p=0.007, ANOVA; Fig. 2E).”
    Quote in the paperSubstantial claim
  • Findingown data

    Similar divergence and persistence of activity for Tin and Topp choices occurred on trials in which Ts was presented but waived by the monkey.

    “We observed a similar divergence and persistence of activity for Tin and Topp choices on the trials in which Ts was presented but was waived by the monkey (Fig. 2B, solid traces).”
    Quote in the paperSubstantial claim
  • May combine two claims. 19
  • Classified as probably not a substantial claim. 6
  • May combine two claims.

    Findingcitation

    Neural activity following motion onset diverged to indicate the monkey's decision for Tin or Topp and persisted through the delay period until the eye movement.

    “The neural activity following motion onset underwent a brief dip and then diverged to indicate the monkey’s decision for Tin or Topp. The activity persisted through the delay period until the eye movement (18).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [18] Shadlen MN Newsome WT J Neurophysiol 86 1916 2001 11600651 source

      Not checked in the free run.

  • May combine two claims.

    Findingown data

    Following onset of Ts, there was a dip in activity, followed by a return to the level of activity preceding onset of Ts.

    “Following onset of Ts, there was a dip in activity, followed by a return to the level of activity preceding onset of Ts.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The model has only three free parameters, which were set by fitting the proportion of Ts choices and the probability correct for trials without Ts.

    “The model has only three free parameters (Table S1), which were set by fitting the proportion of Ts choices and the probability correct for trials without Ts (dashed curves; Fig. 4D, R2=0.97; Fig. 4E, R2=0.98).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    For stronger motion, the decision variable associated with Ts choices follows less intermediate trajectories, and the decision variable associated with direction choices rises or falls faster toward its plateau level; both features are evident in the neural responses.

    “For stronger motion, the decision variable associated with Ts choices follows less intermediate trajectories (note separation of dashed curves), and the decision variable associated with direction choices rises (or falls) faster toward its plateau level. Both of these features are evident in the neural responses.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The prior probability that motion is left or right is equal.
  • May combine two claims.

    Findingown data

    The expected value of Tin changes as a function of motion strength, whereas the firing rate is minimally affected by motion strength when the monkey waives Ts.

    “However the expected value of Tin, in the objective sense (from economics), changes as a function of motion strength (psychometric function; Fig. 1C), whereas the firing rate is minimally affected by motion strength when the monkey waives Ts (Fig. 4F and S4).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation

    The steeper buildup for stronger stimuli is consistent with the accumulation of stronger evidence, shorter decision times, and ultimately more accurate decisions.

    “consistent with the accumulation of stronger evidence, shorter decision times, and ultimately more accurate decisions (13, 17).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [13] SW Link The Wave Theory of Difference and Similarity Scientific Psychology Series Erlbaum Hillsdale, NJ 1992

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [17] Gold JI Shadlen MN Annu Rev Neurosci 30 535 2007 17600525 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The influence of a single neuron on the probability of a post-decision wager is expected to be small because it is one member of a large population of neurons that govern behavior.

    “The influence of a single neuron on the probability of a post-decision wager is expected to be small because it is but one member of a large population of neurons that govern the behavior, presumably (33–35).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [33] Parker AJ Newsome WT Annu Rev Neurosci 21 227 1998 9530497 source

      Not checked in the free run.

    • cites [34] Zohary E Shadlen MN Newsome WT Nature 370 140 1994 8022482 source

      Not checked in the free run.

    • cites [35] Shadlen MN Britten KH Newsome WT Movshon JA J Neurosci 16 1486 1996 8778300 PMC6578557 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Decision time contributes to choice certainty.

    “consistent with the long held view that decision time contributes to choice certainty (8, 9, 12).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [8] Volkmann J Psychol Bull 31 672 1934

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [9] Johnson DM Archs Psychol 34 1 1939

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [12] Audley RJ Br Med Bull 20 27 1964 14104093 source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    Both the evolution of decision-related activity and the sustained activity in the delay period carry information about choice certainty.

    “In other words, both the evolution of decision-related activity and the sustained activity in the delay period carry information about choice certainty.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisereasoning

    The decision terminates naturally when there is no more evidence or when v reaches a critical level or bound.

    “The decision terminates naturally when there is no more evidence (e.g., when the stimulus duration is short) or when v reaches a critical level or bound.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [19] Roitman JD Shadlen MN J Neurosci 22 9475 2002 12417672 PMC6758024 source

      Not checked in the free run.

    • cites [20] Kiani R Hanks TD Shadlen MN J Neurosci 28 3017 2008 18354005 PMC6670720 source

      Not checked in the free run.

    • cites [21] Churchland AK Kiani R Shadlen MN Nat Neurosci 11 693 2008 18488024 PMC2453226 source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    The simple model explains the observed behavior and successfully predicts the amount of improvement in probability correct for trials in which the monkey waives Ts.

    “This simple model explains the observed behavior and successfully predicts the amount of improvement in probability correct for trials in which the monkey waives Ts.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The prior probability that motion is left or right is equal.
    • The authors state this as an assumption: Opting out of the direction decision happens when the expected chance of success based on v(t) at decision time is less than a criterion level.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    The agreement between model and neural responses is only approximate, presumably because neurons besides the ones recorded contribute to the estimation of certainty.

    “The agreement is only approximate, presumably because neurons besides the ones we recorded contribute to the estimation of certainty (1, 22).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [1] Vickers D Decision Processes in Visual Perception Academic Press New York 1979

      Not checked in the free run.

    • cites [22] Beck JM Neuron 60 1142 2008 19109917 PMC2742921 source

      Not checked in the free run.

  • May combine two claims.

    Interpretationreasoning

    The model explains both the diminishing returns associated with prolonged viewing and the tradeoff between speed and accuracy in reaction time experiments.

    “It explains both the diminishing returns associated with prolonged viewing in our experiment (Fig. S3) (20) and the tradeoff between speed and accuracy in reaction time experiments (13, 39, 40).”
    Quote in the paperSubstantial claim0 of 4 sources checked
    • cites [20] Kiani R Hanks TD Shadlen MN J Neurosci 28 3017 2008 18354005 PMC6670720 source

      Not checked in the free run.

    • cites [13] SW Link The Wave Theory of Difference and Similarity Scientific Psychology Series Erlbaum Hillsdale, NJ 1992

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [39] Palmer J Huk AC Shadlen MN J Vis 5 376 2005 16097871 source

      Not checked in the free run.

    • cites [40] Vickers D Packer J Acta Psychol (Amst) 50 179 1982 7102359 source

      Not checked in the free run.

    • The authors state this as an assumption: The prior probability that motion is left or right is equal.
  • May combine two claims.

    Interpretationnone given

    Both v and t convey information about certainty.

    “The key insight is that both v and t convey information about certainty.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisereasoning

    The decision variable v(t) governs the choice of direction, having either attained a critical level or by comparison to a criterion if the evidence stream ceases.

    “This is the decision variable, v(t), that governs the choice of direction, having either attained a critical level — a decision termination bound —or by comparison to a criterion if the evidence stream ceases.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    It is probably also consistent with other models that exploit a broader population of LIP neurons to encode posterior probability.

    “It is probably also consistent with other models that exploit a broader population of LIP neurons to encode posterior probability (22, 41).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [22] Beck JM Neuron 60 1142 2008 19109917 PMC2742921 source

      Not checked in the free run.

    • cites [41] Ma WJ Beck JM Latham PE Pouget A Nat Neurosci 9 1432 2006 17057707 source

      Not checked in the free run.

  • May combine two claims.

    Interpretationreasoning

    It seems likely that the computation of choice certainty is passed from LIP to brain structures that anticipate reward, and that feedback from these structures affects LIP after the appearance of Ts to mediate the decision to choose or forgo the Ts option.

    “It therefore seems likely that the computation of choice certainty is passed, from LIP, to brain structures that anticipate reward, and it is likely that feedback from these structures affects LIP in the epoch after the appearance of Ts to mediate the decision to choose or forgo the Ts option.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    A diversion of attention away from Tin to the potential location of Ts should have led to a reduction in firing rate for both Tin and Topp directions during motion viewing and in the delay period before Ts appeared.

    “For example, a diversion of attention away from Tin to the potential location of Ts should have led to a reduction in firing rate for both Tin and Topp directions during motion viewing and in the delay period before Ts appeared.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Even subjective expected value, which is synonymous with certainty, fails to fully capture the deeper insight about mechanism: the evolution of decision-related activity that gives rise to a choice also underlies certainty and a wager based upon it.

    “Even subjective expected value, which is synonymous with certainty, fails to fully capture the deeper insight our experiment reveals about mechanism: the evolution of decision-related activity that gives rise to a choice also underlies certainty and a wager based upon it.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Attention or motor planning might explain the activity just preceding saccades, but it does not explain the intermediate firing rates in the key epochs of interest.

    “Attention (or motor planning) might explain the activity just preceding saccades, but it does not explain the intermediate firing rates in the key epochs of interest.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    The neural recordings support the idea of a Bayesian brain and a neural mechanism of decision making that does not flip into a fixed point or attractor state but instead approximates the formation of a probability distribution.

    “From this perspective, our neural recordings support the idea of a “Bayesian brain” (66) and a neural mechanism of decision making that does not flip into a fixed point or attractor state but instead approximates the formation of a probability distribution (41, 67).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [66] Knill DC Pouget A Trends Neurosci 27 712 2004 15541511 source

      Not checked in the free run.

    • cites [41] Ma WJ Beck JM Latham PE Pouget A Nat Neurosci 9 1432 2006 17057707 source

      Not checked in the free run.

    • cites [67] Zemel RS Dayan P Pouget A Neural Comput 10 403 1998 9472488 source

      Not checked in the free run.

  • May combine two claims.

    Premiseown data

    LIP neurons are hypothesized to encode the attentional salience or expected value of a visual saccade target, but these concepts cannot explain the pattern of LIP activity in the experiment.

    “LIP neurons are hypothesized to encode the attentional salience or expected value of a visual saccade target (52, 53, 63), but these concepts cannot explain the pattern of LIP activity in our experiment.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [52] Sugrue LP Corrado GS Newsome WT Science 304 1782 2004 15205529 source

      Not checked in the free run.

    • cites [53] Platt ML Glimcher PW Nature 400 233 1999 10421364 source

      Not checked in the free run.

    • cites [63] Gottlieb J Neuron 53 9 2007 17196526 source

      Not checked in the free run.

  • May combine two claims.

    Interpretationcitation

    This simple mechanism brings certainty under the same rubric as choice and reaction time and removes the need to resort to meta-cognitive explanations for certainty monitoring.

    “This simple mechanism brings certainty, which is commonly conceived as a subjective aspect of decision making, under the same rubric as choice and RT (1, 62) and removes the need to resort to meta-cognitive explanations for certainty monitoring (45).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [1] Vickers D Decision Processes in Visual Perception Academic Press New York 1979

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [62] Smith PL J Math Psychol 32 135 1988

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [45] Smith JD Beran MJ Couchman JJ Coutinho MV Psychon Bull Rev 15 679 2008 18792496 PMC4607312 source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    The findings support a low-level explanation of post-decision wagering in the task, but do not preclude the possibility that an animal with subjective awareness might base such impressions on neural signals like the ones exposed.

    “Our findings support a low-level explanation of post-decision wagering in our task, but they do not preclude the possibility that an animal that experiences subjective awareness of degree of certainty might base such impressions on neural signals like the ones exposed here.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    The sure-target was shown during the delay period, at least 500 ms after the random dot motion was extinguished.

    “Importantly, this “sure-target” was shown during the delay period, at least 500 ms after the random dot motion was extinguished.”
    Quote in the paperSubstantial claim
25 of 25
  • The paper relies on this without support.

    Neurons in orbitofrontal cortex and cingulate cortex do not give rise to a representation of decision uncertainty but receive this information from neurons that compute this quantity in the decision making process.

    “However, these neurons do not give rise to a representation of decision uncertainty but presumably receive this information from neurons that compute this quantity in the decision making process.”
  • The authors state this as an assumption.

    The prior probability that motion is left or right is equal.

    “The last term vanishes, because the prior probability that motion is left or right is equal.”
  • The authors state this as an assumption.

    Opting out of the direction decision happens when the expected chance of success based on v(t) at decision time is less than a criterion level.

    “it is easy to imagine that opting out of the direction decision might happen when the expected chance of success based on v(t) at decision time is less than a criterion level (Fig. 4C).”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The dynamics of evidence accumulation within the choice period provide a neural representation of uncertainty that can be used to inform confidence.

    “Moreover, as we saw above, the dynamics of evidence accumulation within the choice period provide a neural representation of uncertainty that can be used to inform confidence (Kiani & Shadlen 2009).”

    From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Kiani & Shadlen 2009

  • In certain scenarios, such as the decision to opt out of a well-constrained decision problem, propositional confidence can be derived from a direct transformation of the accumulated evidence for one choice or the other.

    “In certain scenarios, such as the decision to opt out of a well-constrained decision problem, propositional confidence can be derived from a direct transformation of the accumulated evidence for one choice or the other (Kiani & Shadlen 2009, van den Berg et al. 2016a).”

    From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Kiani & Shadlen 2009

  • The same sequential sampling framework explains the confidence that a decision is correct.

    “The same framework also explains the confidence that a decision is correct (Kiani and Shadlen, 2009; Kiani et al., 2014a).”

    From A common mechanism underlies changes of mind about decisions and confidence (2016) · cites this paper as Kiani and Shadlen, 2009

  • Choice confidence emerges from the dynamics of noisy accumulators in the race model, leading to dual effects of difference in value and reaction time on confidence.

    “Choice confidence can be seen to emerge from the dynamics of noisy accumulators in the race model7,21, leading to dual effects of difference in value and reaction time on confidence27.”

    From Confidence in value-based choice (2013) · cites this paper as [27]

  • Previous studies have relied on an object-level framework where confidence is equated with the information that governs the choice process.

    “Previous studies have relied on an object-level framework, where confidence is equated with the information that governs the choice process [ 30 – 32 ].”

    From Metacognition: computation, biology and function (2012) · cites this paper as [31]

Cites

Flagged first, then by citations

Research works printed but not linked: 4

  1. Pierce C. S., Jastrow J., Proc. Natl. Acad. Sci. U.S.A. 3, 75 (1884).
  2. Volkmann J., Psychol. Bull. 31, 672 (1934).
  3. Johnson D. M., Arch. Psychol. 34, 1 (1939).
  4. A. Wald Sequential Analysis (Wiley New York 1947).

Cited by

Sorted by citations

Authors
Kiani, R., & Shadlen, M. N.
Affiliations
Howard Hughes Medical Institute (US)
Venue
Science
Published
2009-05-08
Volume
324
Issue
5928
Pages
759-764
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2148821453
Cited by
1,027
References
62
Citations by year
2026: 49 · 2025: 62 · 2024: 67 · 2023: 90 · 2022: 58 · 2021: 74 · 2020: 81 · 2019: 69 · 2018: 66 · 2017: 69 · 2016: 60 · 2015: 56 · 2014: 64 · 2013: 32 · 2012: 59
FWCI
21.04
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Howard Hughes Medical Institute
  • National Eye Institute (EY11378, R01EY011378)
  • National Center for Research Resources (RR00166, P51RR000166)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
decision confidence, parietal cortex, single-unit recording, perceptual decision making, rhesus monkeys
MeSH terms
Animals, Brain Mapping, Decision Making, Judgment, Macaca mulatta, Motion Perception, Neurons, Parietal Lobe, Reward, Saccades, Electrophysiological Phenomena

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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