A model of subjective report and objective discrimination as categorical decisions in a vast representational space

King, Dehaene · Philosophical Transactions of the Royal Society B: Biological Sciences · 2014 · neuroscience · 10.1098/rstb.2013.0204 · record King2014-a-model-of-subjective-report-and-objective-d
tag layer · index · concepts · authors · עברית
Where this record's text came from. faceted 2026-08 by reading the locally held text (html); every evidence string verified as an exact substring of that text before merging. Method is recorded as simulation because the primary object is a formalised decision model with simulated decision geometries, but the paper also reports an original behavioural psychophysics experiment (17 analysed subjects, morphed digits at perceptual threshold with a 10-point visibility scale) that tests one model prediction; a single-method tag cannot carry both. The paper also announces further supporting results in 'a companion paper in preparation', which is unverifiable from this text. 2026-08-13 and 2026-08-15 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
34 quotations on this page contain a reference number where the paper printed a superscript. This journal style prints citations as raised numerals — parameters12,13 — and the extraction flattened them into the line, so the sentence reads parameters 12 , 13 . The digits are citation markers and not part of what the author wrote. The quotes keep them for the same reason they keep every other extraction fault: a quote is reproduced exactly or it proves nothing.
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Other fields define these differently the same word, defined another way in another discipline
attention 36 fields · confidence 5 fields · standard deviation 3 fields · task 2 fields · cost 2 fields · discrimination 2 fields · and 7 more →

Tags on this paper

Every tag the record carries, each linking to every other paper in the corpus that carries it. A tag appears here whether or not its words occur in the article — the spans below are only the ones a sentence in this paper licenses. Of the 43 concept tags on this paper, none is grounded in a quoted sentence. All carry the tagger's gloss of what the term means in this paper, which is not something the article can license.
representational space input vector classes response classes task decision boundaries criterion posterior probability prior probability priors likelihood cost evidence stimulus strength signal detection ideal observer sequential sampling non-commutativity visibility discrimination identification detection confidence second-order subjective report seen unseen subliminal blindsight hysteresis attention variance sigmoid nonlinear all-or-none categorical perception conscious perception unconscious morph digit mask staircase global workspace Objective and subjective tasks apply the same maximum-a-posteriori inference to the same input vector, but over different response classes; the different class sets carry different priors and hence different decision boundaries, so the two tasks can return conflicting answers. Internal noise makes some threshold trials yield shorter input vectors; short vectors both fall in the 'absent' region and sit nearer the X/Y discrimination boundary, so trials called unseen are automatically the ones discriminated worse. Evidence weak enough to be classified as unseen necessarily lies near the origin of the representational space, where the forced-choice psychometric curve is shallow, producing linear (rather than all-or-none) unconscious response profiles. vast representational space categorical structure of classes forced-choice discrimination visibility judgement subliminal perception parameter λ identification performance subjective visibility target contrast t-test standard deviation model fitting (binomial / logistic psychometric fit) fit a binomial distribution as a function of bar intensity correlation (coefficient of determination) d’ binomial t 16 simulation

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second readingalternativesan independent re-reading of a facet, recorded whether or not it agrees
relation to other workclaim_relationshow this paper stands to another: agrees, contradicts, extends, qualifies
claim typeclaim_typethe shape of the claim: existence, mechanism, method, critique, prediction, null
concept edgeconcept_edgesan asserted relation between two concepts, with the sentence asserting it
content tagcontent_tagsa finding, definition, quantity, statistic or variable named in the paper
contributioncontributionwhat the paper claims to add
controlcontrolsan experiment run to eliminate a rival explanation
limitationlimitationswhat the paper says its evidence cannot support
mechanismmechanismshow the reported effect is said to come about
methodmethodhow the paper produced its evidence
object of studyobject_of_studywhat the paper is about — the thing it investigates
phenomenonphenomenonthe effect or regularity under study
research questionresearch_questionthe question the paper sets itself
sensesensesa distinct use of a term, quoted where the paper fixes it
transfertransfersa method or concept carried in from another field
unrecordable relationunhoused_relationsa relation the paper asserts that this vocabulary cannot express, with the reason

The paper

The full text is not reproduced here. This article is not cleared for redistribution, so the page carries the tag layer only. Its evidence sentences are withheld; the grounding status remains with each tag, and the article itself is at https://doi.org/10.1098/rstb.2013.0204. The reading view exists for the papers whose licence permits it.

Every tag on this page

alternatives 3 · claim_relations 10 · claim_type 1 · concept_edges 9 · content_tags 86 · contribution 1 · controls 1 · limitations 10 · mechanisms 9 · method 1 · object_of_study 1 · phenomenon 1 · research_question 1 · senses 10 · transfers 4 · unhoused_relations 1

Relations on this page carry a quotation for the claim. Where a relation was separately evidenced — and so tested against the vocabulary for its type — the row says so; none of 9 relations here carry that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
object_of_studywhy a stimulus can be discriminated above chance while being reported as unseen, treated as two decisions over the same sensory vector under different sets of response classes
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object_of_studythe paper's words
research_questionwhether objective and subjective tasks can be described by the same inference principles, differing only in the nature and size of the decision space
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research_questionthe paper's words
contributiona geometric decision model that reproduces six standard findings in conscious and unconscious perception without postulating a separate conscious process, and a new experiment confirming one of its predictions
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contributionthe paper's words
claim_typemechanism
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claim_typethe paper's words
phenomenondissociation between subjective visibility report and objective discrimination (subliminal perception)
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phenomenonthe paper's words
methodsimulation
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also in: simulation
methodthe paper's words
mechanismsmechanisms
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mechanisms[0]the tagger's words
mechanismsmechanisms
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mechanisms[1]the tagger's words
mechanismsmechanisms
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mechanisms[2]the tagger's words
mechanismseach task imposes its own set of response classes on the same continuous vector space, so two tasks can partition it differently and return different answers
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mechanisms[3]1.0the tagger's words
mechanismsthe distance between the two stimulus classes can exceed their distance from the absent class, which is why discrimination survives where detection does not
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mechanisms[4]1.0the tagger's words
mechanismsinternal variability alone makes half of physically identical threshold stimuli fall nearer the absent class and be reported unseen, and those samples sit closer to the discrimination border
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status: the paper's own words: can explain why
mechanisms[5]1.0the tagger's words
mechanismsthe variance of the representation is what turns the visibility sigmoid from stepwise to nearly linear
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mechanisms[6]1.0the tagger's words
mechanismsraising the prior for one stimulus lowers the visibility threshold for that stimulus alone, which is offered as the mechanism behind hysteresis effects
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mechanisms[7]0.8the tagger's words
mechanismsif attention changes the variance of the input, it can raise or lower visibility depending on how many trials are already reported unseen
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mechanisms[8]0.8the tagger's words
limitationsThe account of linear versus nonlinear visibility profiles rests on an internal-variance parameter that cannot be measured in existing experiments.
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limitations[0]the tagger's words
limitationsThe model assumes a decision based on one static input vector rather than an accumulation of samples over time.
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limitations[1]the tagger's words
limitationsMost of the model's coverage of the literature is post hoc rather than predictive.
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limitations[2]the tagger's words
limitationsmost of the account is retrospective, which is why a new experiment was run
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limitations[3]1.0the tagger's words
limitationsthe internal variance that drives the central prediction cannot be determined from existing experiments, so that part of the account remains speculative
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limitations[4]1.0the tagger's words
limitationssix computational simplifications are declared in order: the cost function neglected, priors fixed in a given context rather than continuously updated, Gaussian distributions assumed, subjects assumed to have an accurate estimate of stimulus distributions, the same input vector entering different tasks, and stimulus evidence treated as a single discrete point
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limitations[5]1.0the tagger's words
limitationsthe hypothesis that the input vector remains unchanged and identically available for a series of successive judgements may turn out to be simplistic, given temporal decay, an attentional cue presented after the stimulus, the task set imposed by the first task, and the order in which two questions are presented
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limitations[6]1.0the tagger's words
limitationsthe model assumes a single input vector where sequential sampling models assume an accumulation, and extending it that way would be needed to predict reaction times
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limitations[7]1.0the tagger's words
limitationsthe assumption that the decision system is fully informed of the stimulus distributions is called undoubtedly an idealization, with a dynamic model whose likelihood functions, priors and costs are learned and may therefore be ill estimated offered as the route to human deviations from optimality
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limitations[8]1.0the tagger's words
limitationsthe predicted exceptions to the all-or-none pattern, at high variance or low signal to noise, remain untested
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limitations[9]1.0the tagger's words
transfersthe MAP rule, which supplies the decision boundaries instead of their being assumed
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transfers[0]1.0the tagger's words
transferslikelihood distributions and a decision rule, moved from one axis into a multi-dimensional space
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transfers[1]1.0the tagger's words
transfersnon-commuting projections, offered as a way to model why the order of two questions changes the answers
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transfers[2]1.0the tagger's words
transferswithin-category compression and between-category separation as the definition to be met
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transfers[3]1.0the tagger's words
controlstwo subjects excluded for failing to converge to a stable threshold
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eliminates: a threshold estimate that never settled, which would put an unmeasurable visibility level into the group analysis · outcome (stated by the tagger, no quotation): held
controls[0]0.85the tagger's words
unhoused_relationsdiscrimination → visibility
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A DEPENDENCE, AND A SAMENESS CLAIM UNDERNEATH IT: the model predicts that linear and nonlinear response profiles ARISE FROM THE SAME DECISION MECHANISM, and that the discrimination profile of physically identical stimuli becomes increasingly nonlinear AS VISIBILITY INCREASES. No type expresses 'these vary together because one mechanism produces both'.
unhoused_relations[0]the tagger's words
sensesTHE SAME INPUT UNDER TWO CLASS STRUCTURES GIVES TWO ANSWERS, AND BOTH ARE CORRECT: each task imposes, top-down, its own categorical structure on one continuous space, and distinct response classes may therefore lead to different conclusions
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senses[0]1.0the tagger's words
sensesso a dissociation between what is discriminated and what is reported needs no second process - it is what one inference looks like when the question changes
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senses[1]1.0the tagger's words
sensesTHE BOUNDARIES ARE DERIVED, NOT POSITED: their placement is stated not to be an additional hypothesis but a consequence of choosing the most probable class
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senses[2]1.0the tagger's words
sensesA WIDELY USED TERM WHOSE ORDINARY FORM IS WRONG: criterion suggests a single scalar value, and in this framework it is a set of task-specific boundaries dividing a space, which move when the task or the priors move
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senses[3]1.0the tagger's words
sensesTHE BIAS IS THE SIGNAL: a shift in visibility criterion reflects the subject's own priors and costs and is argued not to be an experimental confound to be discarded
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senses[4]1.0the tagger's words
sensesTHE CONTROL CREATES THE CONFOUND IT WAS MEANT TO REMOVE: equating discrimination by masking or by attention introduces physical differences between the visible and invisible stimuli, so the contrast may reflect the stimulus rather than the visibility
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senses[5]1.0the tagger's words
sensesAND THE PAPER SAYS ITS OWN ARGUMENTS ARE RETROSPECTIVE before running a new experiment - the accommodation of six existing findings is not offered as the test
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senses[6]1.0the tagger's words
sensesthe target set is declared first: six empirical findings that any account should reproduce, listed before the model is built
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senses[7]1.0the tagger's words
sensesAND THE ORDER OF THE QUESTIONS MAY CHANGE THE ANSWERS: successive judgements may project the vector onto a task-defined subspace, and projections do not commute
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senses[8]1.0the tagger's words
sensesan explanation is removed rather than added: a linear-then-categorical pattern previously read as two processes is reproduced by one, with the extra kind declared unnecessary
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senses[9]1.0the tagger's words
alternativesclaim_type: mechanism
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a second reading reaching the same value. Recorded: mechanism — note: a second reading reaching the same value from a different sentence. Not applied - a person decides.
alternatives.claim_typethe tagger's words
alternativesmethod: a Bayesian signal-detection model in a multi-dimensional feature space, simulated for six known findings, then tested behaviourally by morphing one bar between two digits at perceptual threshold and collecting identification and visibility on every trial
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a second reading DIFFERING from the recorded value. Recorded: simulation — note: a second reading, verbatim-verified, disagreeing with the value on the record. Not applied - a person decides.
alternatives.methodthe tagger's words
alternativesphenomenon: subliminal perception: above-chance discrimination of a stimulus the subject reports not having seen
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a second reading DIFFERING from the recorded value. Recorded: dissociation between subjective visibility report and objective discrimination (subliminal perception) — note: a second reading, verbatim-verified, disagreeing with the value on the record. Not applied - a person decides.
alternatives.phenomenonthe tagger's words
claim_relationsbuilds-on → earlier proposals [8, 12] (including Lau's decision-theoretic account)
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claim_relations[0]the tagger's words
claim_relationsextends → de Gardelle et al. [47]
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claim_relations[1]the tagger's words
claim_relationscontradicts → Rahnev et al. [26]
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differs in: what drives the visibility rating: Rahnev has attention inducing a bias BY CHANGING THE INTER-TRIAL VARIANCE OF THE STIMULUS, where this model predicts AN INTERACTION BETWEEN THE VARIANCE AND INITIAL VISIBILITY THRESHOLD
claim_relations[2]the tagger's words
claim_relationscritiques → accounts on which conscious perception is qualitatively different - more integrated, or dependent on higher-order metacognitive representations
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differs in: quantitative against qualitative: CONSCIOUS PROCESSES ARE QUANTITATIVELY MORE COMPLEX, INTEGRATED AND DIFFERENTIATED (Tononi and Edelman) against CONSCIOUS PERCEPTION IS QUALITATIVELY DIFFERENT FROM UNCONSCIOUS PERCEPTION, AS IT RELIES ON HIGHER ORDER METACOGNITIVE REPRESENTATIONS (Lau, Rosenthal)
claim_relations[3]1.0the tagger's words
claim_relationsexplains-away → the reading of linear unconscious and categorical conscious priming as two distinct processes
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claim_relations[4]1.0the tagger's words
claim_relationscritiques → the methodological position that subjective reports are unreliable and objective sensitivity measures should be preferred
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differs in: whether one measure reduces to the other: WE SHOW THAT SUBJECTIVE REPORTS CANNOT BE REDUCED TO OBJECTIVE MEASURES, against the position that OBJECTIVE MEASURES, FOR EXAMPLE DETECTION SENSITIVITY (d'), SHOULD BE FAVOURED
claim_relations[5]1.0the tagger's words
claim_relationsqualifies → Lau and colleagues' designs that equate discrimination across seen and unseen trials, which do so at the cost of physical stimulus differences
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differs in: what the design holds constant and what it lets vary: DISCRIMINATION PERFORMANCE IS EQUATED AT THE EXPENSE OF INTRODUCING PHYSICAL DIFFERENCES between the conditions, since masking and attention BOTH MAY CHANGE THE SIGNAL-TO-NOISE RATIO OF THE INCOMING EVIDENCE
claim_relations[6]1.0the tagger's words
claim_relationscontradicts → Rahnev and colleagues' account of attention as inducing a conservative visibility bias through inter-trial variance
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differs in: the same parameter as item 2: variance alone against AN INTERACTION BETWEEN THE VARIANCE AND INITIAL VISIBILITY THRESHOLD
claim_relations[7]1.0the tagger's words
claim_relationsbuilds-on → signal detection theory, extended from its usual one-dimensional depiction to multiple dimensions
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claim_relations[8]1.0the tagger's words
claim_relationsextends → de Gardelle and colleagues' morphed-face priming result, replicated here with digits and an explicit visibility scale
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claim_relations[9]1.0the tagger's words
concept_edgestask —causes→ classes
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strength of the relation: 1 · note: THE WHOLE ARGUMENT: each task imposes, top-down, its own categorical structure on a continuous space, and distinct response classes may therefore lead to different answers about the same input Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span says each task imposes a categorical structure of classes; causes is loose.
also in: task · classes
concept_edges[0]1.0the tagger's words
concept_edgesresponse classes —part-of→ task
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strength of the relation: 1 · note: and a confidence judgement is just another set of classes, so there is one confidence per task rather than one confidence Audit 2026-09-28: DOUBTFUL - read against its span and kept, but confidence judgements add response classes to a task; part-of is loose.
concept_edges[1]1.0the tagger's words
concept_edgesidentification —operationalised-as→ posterior probability
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strength of the relation: 1 · note: three tasks over the same three classes: identification across all of them, discrimination with the absent class excluded, visibility as absent against not-absent
concept_edges[6]1.0the tagger's words
concept_edgesinput vector —distinct-from→ sequential sampling
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strength of the relation: 1 · note: a single point where the newer models use a trajectory, which is why this model says nothing about reaction times Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the model assumes a SINGLE input vector, which sequential sampling models supersede; distinct-from is loose.
concept_edges[11]1.0the tagger's words
concept_edgesdiscrimination —contrasted-with→ detection
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strength of the relation: 1 · note: the distance between the two stimuli exceeds their distance from the absent class - in two dimensions by a factor of root two - so one can be significant when the other is not
concept_edges[14]1.0the tagger's words
concept_edgesunseen —distinct-from→ seen
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strength of the relation: 1 · note: internal variability alone splits physically identical threshold trials, and the unseen half necessarily sits closer to the discrimination border Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span explains why some identical stimuli are reported unseen; distinct-from is loose.
also in: unseen · seen
concept_edges[15]1.0the tagger's words
concept_edgesvariance —causes→ sigmoid
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strength of the relation: 1 · note: the parameter that turns the visibility function from stepwise to nearly linear is the variance in representational space, not a change of process Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span names a parameter driving the sigmoid's slope; causes 'sigmoid' is loose.
also in: variance · sigmoid
concept_edges[17]1.0the tagger's words
concept_edgesattention —causes→ visibility
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strength of the relation: 0.8 · note: and the disagreement with the rival account is stated as a testable difference rather than an interpretation Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span predicts how attention affects visibility ratings; causes states a prediction.
also in: attention · visibility
concept_edges[19]1.0the tagger's words
concept_edgesRETRACTED (AN ATTRIBUTED PROPOSAL, AND THE CONTAINMENT IS A CATEGORY CONFUSION) · global workspace —part-of→ conscious perception
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RETRACTED: AN ATTRIBUTED PROPOSAL, AND THE CONTAINMENT IS A CATEGORY CONFUSION. The edge is 'global workspace --part-of--> conscious perception'. The span: 'These areas have been proposed to form A “GLOBAL WORKSPACE”…'. A workspace is a proposed ARCHITECTURE in which conscious information is held - it is not a PART of conscious perception, and the sentence attributes the proposal to others rather than asserting it. — strength of the relation: 0.8 · note: the neural sketch is left explicitly as future work, with prefrontal, anterior temporal and parietal areas as the categorical decision system Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but these areas 'HAVE BEEN PROPOSED to form' a global workspace that contributes to conscious perception; part-of is loose.
concept_edges[36]0.8the tagger's words
content_tagst-test
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also in: t-test
content_tags.statistics[0]the tagger's words
content_tagsstandard deviation
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content_tags.statistics[1]the tagger's words
content_tagsmodel fitting (binomial / logistic psychometric fit)
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content_tags.statistics[2]the tagger's words
content_tagscorrelation (coefficient of determination)
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content_tags.statistics[3]the tagger's words
content_tagsd’
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also in: d’
content_tags.statistics[4]1.0the tagger's words
content_tagsbinomial
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also in: binomial
content_tags.statistics[5]0.8the tagger's words
content_tagst 16
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also in: t 16
content_tags.statistics[6]1.0the tagger's words
content_tagsA single Bayesian/signal-detection decision framework, differing only in the response classes each task imposes, reproduces the standard dissociation between objective discrimination and subjective report.
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content_tags.findings[0]the tagger's words
content_tagsThe decision model suffices to account for several classical characteristics of conscious and unconscious perception.
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content_tags.findings[1]the tagger's words
content_tagsGeometrically, the two-dimensional model implies that discrimination sensitivity exceeds detection sensitivity, which is why above-chance discrimination can coexist with chance-level detection.
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content_tags.findings[2]the tagger's words
content_tagsIn a new experiment with morphed digits at threshold, subjects identified the digit above chance even at the lowest visibility rating.
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content_tags.findings[3]the tagger's words
content_tagsThe steepness of the identification sigmoid rose systematically with reported visibility, as the model predicted.
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content_tags.findings[4]the tagger's words
content_tagsUnseen trials produced a near-linear relation between morph level and response, whereas seen trials produced a near step-function, all-or-none pattern.
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content_tags.findings[5]the tagger's words
content_tagsBecause one decision process yields both response profiles, no qualitative difference between conscious and unconscious processing need be postulated.
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content_tags.findings[6]the tagger's words
content_tagsSIX EMPIRICAL FINDINGS ARE DECLARED IN ADVANCE as the set any account must reproduce, before the model is introduced
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content_tags.findings[7]1.0the tagger's words
content_tagseach task is taken to impose its own class structure on one continuous space, so distinct response classes can give different answers about the same input
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content_tags.findings[8]1.0the tagger's words
content_tagsthe conscious percept is modelled as the most probable class among all classes, with negative classes such as I did not see anything included
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content_tags.findings[9]1.0the tagger's words
content_tagsTHE DECISION BOUNDARIES ARE DERIVED RATHER THAN POSITED - their placement is explicitly not an additional hypothesis
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content_tags.findings[10]1.0the tagger's words
content_tagsSIX SIMPLIFICATIONS ARE LISTED IN ORDER: no cost function, fixed priors, Gaussian distributions, a calibrated observer, a task-invariant input vector, and a single point rather than a trajectory
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content_tags.findings[11]1.0the tagger's words
content_tagsa degraded stimulus can fall in the unseen region and still be discriminated above chance when the choice excludes the absent class
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content_tags.findings[12]1.0the tagger's words
content_tagsand this is not a response bias - the simulation is Bayes-optimal and still produces the dissociation
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content_tags.findings[13]1.0the tagger's words
content_tagsthe geometry gives discrimination a root-two advantage over detection in two dimensions, so one can be significant while the other is not
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content_tags.findings[14]1.0the tagger's words
content_tagsinternal variability alone explains why about half of physically identical threshold trials are reported unseen, and why those trials discriminate worse
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content_tags.findings[15]1.0the tagger's words
content_tagsTHE TERM CRITERION IS RECONSTRUCTED: it suggests a single scalar value, and here it is a task-specific set of boundaries that move when the task or the priors move
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content_tags.findings[16]1.0the tagger's words
content_tagsthree distinct mechanisms are offered for equating discrimination while visibility varies, each with its own manipulation to test it
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content_tags.findings[17]1.0the tagger's words
content_tagsthe slope of the visibility sigmoid is driven by the variance of the representation, so all-or-none and graded patterns come from one process
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content_tags.findings[18]1.0the tagger's words
content_tagsand that part is marked speculative, because internal variance cannot be determined from existing experiments
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content_tags.findings[19]1.0the tagger's words
content_tagsin a hysteresis paradigm, subjects reported letters as more visible in the descending than in the ascending sequence, once they knew the letter's identity
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content_tags.findings[20]1.0the tagger's words
content_tagsand the account is immediately qualified, since subjects also learn the sequence structure and would expect more absent trials at its ends
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content_tags.findings[21]1.0the tagger's words
content_tagswith a discriminating prediction attached: the same sequences should shift the bias but leave discrimination unchanged
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content_tags.findings[22]1.0the tagger's words
content_tagsattention modelled as a variance change can raise or lower visibility depending on how many trials are already reported unseen
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content_tags.findings[23]1.0the tagger's words
content_tagswhich is stated as a testable disagreement with the rival account rather than an interpretation of it
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content_tags.findings[24]1.0the tagger's words
content_tagsTHE PAPER STATES THAT ITS ARGUMENTS SO FAR ARE RETROSPECTIVE and runs a new experiment for that reason
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content_tags.findings[25]1.0the tagger's words
content_tagsthe prediction under test is that identical stimuli give increasingly nonlinear discrimination as visibility rises
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content_tags.findings[26]1.0the tagger's words
content_tagsthe continuum is built by varying the contrast of a single bar between two digits, so one physical dimension carries two categories
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content_tags.findings[27]1.0the tagger's words
content_tagsstimuli were held at perceptual threshold so that a fixed stimulus produced both seen and unseen reports
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content_tags.findings[28]1.0the tagger's words
content_tagscontrast was set per subject by staircase to about 70 percent accuracy, and two subjects who would not converge were excluded
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content_tags.findings[29]1.0the tagger's words
content_tagsthe visibility scale was validated against target-absent trials before being used
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content_tags.findings[30]1.0the tagger's words
content_tagsTHE RESULT: choices tracked bar contrast at every visibility level, and the sigmoid steepened significantly as visibility rose
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content_tags.findings[31]1.0the tagger's words
content_tagsthree predictions verified - above chance throughout, rising with visibility, and increasingly nonlinear with visibility
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content_tags.findings[32]1.0the tagger's words
content_tagsAND NO QUALITATIVE DIFFERENCE HAD TO BE POSTULATED between conscious and unconscious processing to get it
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content_tags.findings[33]1.0the tagger's words
content_tagsan earlier result read as two processes - unconscious analogue against conscious discrete - is reproduced by one
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content_tags.findings[34]1.0the tagger's words
content_tagsconscious percepts are held to a borrowed definition of categorical perception, with three separate signatures promised in a companion paper
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content_tags.findings[35]1.0the tagger's words
content_tagsperception is framed as a massive classification problem, with a picture-naming task involving tens of thousands of classes
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content_tags.findings[36]1.0the tagger's words
content_tagssubjective reports are argued not to be reducible to objective measures nor to second-order confidence
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content_tags.findings[37]1.0the tagger's words
content_tagsTHE BIAS IS THE SIGNAL: a criterion shift reflects the subject's own priors and costs and is argued not to be discarded as a confound
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content_tags.findings[38]1.0the tagger's words
content_tagsTHE CONTROL CREATES A CONFOUND: equating discrimination by masking or attention introduces physical differences between visible and invisible stimuli
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content_tags.findings[39]1.0the tagger's words
content_tagsthe predicted exceptions to the all-or-none pattern remain untested
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content_tags.findings[40]1.0the tagger's words
content_tagsthe assumption that one vector serves several successive tasks is supported by a four-guess experiment, and its limits are named
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content_tags.findings[41]1.0the tagger's words
content_tagsincluding decay, retro-cueing, task set and the order of the questions
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content_tags.findings[42]1.0the tagger's words
content_tagsAND PROJECTIONS DO NOT COMMUTE, so question order could change the answers - left open as a possible addition
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content_tags.findings[43]1.0the tagger's words
content_tagsthe single-vector assumption is contrasted with sequential sampling models, which is what would be needed for reaction times
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content_tags.findings[44]1.0the tagger's words
content_tagsthe ideal-observer assumption is named as an idealization, with learned and miscalibrated priors offered as the route to deviations from optimality
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content_tags.findings[45]1.0the tagger's words
content_tagsthe classic one-dimensional depiction of signal detection theory is argued to miss the interaction between features, classes and tasks
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content_tags.findings[46]1.0the tagger's words
content_tagsthe vast representational space is placed in posterior unimodal and multimodal sensory areas, whose role may be to augment the dimensionality of sensory inputs and turn decisions into linearly separable problems
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content_tags.findings[47]1.0the tagger's words
content_tagswith the global workspace named as the candidate for the categorical decision system
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content_tags.findings[48]1.0the tagger's words
content_tagsvast representational space
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content_tags.definitions[0]the tagger's words
content_tagscategorical structure of classes
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content_tags.definitions[1]the tagger's words
content_tagsforced-choice discrimination
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content_tags.definitions[2]the tagger's words
content_tagsvisibility judgement
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content_tags.definitions[3]the tagger's words
content_tagssubliminal perception
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content_tags.definitions[4]the tagger's words
content_tagsrepresentational space
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content_tags.definitions[6]1.0the tagger's words
content_tagscriterion
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also in: criterion
content_tags.definitions[7]1.0the tagger's words
content_tagscategorical perception
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content_tags.definitions[8]1.0the tagger's words
content_tagsidentification
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content_tags.definitions[9]1.0the tagger's words
content_tagssequential sampling
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content_tags.definitions[10]1.0the tagger's words
content_tagsparameter λ
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also in: parameter λ
content_tags.variables[0]the tagger's words
content_tagsidentification performance
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content_tags.variables[1]the tagger's words
content_tagssubjective visibility
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content_tags.variables[2]the tagger's words
content_tagstarget contrast
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content_tags.variables[3]the tagger's words
content_tagsvisibility
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
also in: visibility
content_tags.variables[4]1.0the tagger's words
content_tagsdiscrimination
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content_tags.variables[5]1.0the tagger's words
content_tagsvariance
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also in: variance
content_tags.variables[6]1.0the tagger's words
content_tagsprior probability
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content_tags.variables[7]1.0the tagger's words
content_tagsevidence
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also in: evidence
content_tags.variables[8]0.9the tagger's words
content_tagsn = 17 — number of subjects contributing to the reported results (two of nineteen were excluded)
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content_tags.quantities[0]the tagger's words
content_tags29% males, age: 25 ± 5 — composition of the volunteer sample recruited for the experiment
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content_tags.quantities[1]the tagger's words
content_tags67.7% — identification accuracy on unambiguous targets, confirming the staircase hit its ~70% goal
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content_tags.quantities[2]the tagger's words
content_tags36.7 versus 16.9% — proportion of trials given the lowest (0%) visibility rating on target-absent versus target-present trials
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content_tags.quantities[3]the tagger's words
content_tags√2 — the factor by which discrimination sensitivity exceeds detection sensitivity in the two-dimensional version of the model
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content_tags.quantities[4]the tagger's words
content_tags1000 trials divided into 25 blocks — total trial count per subject in the main experiment
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content_tags.quantities[5]the tagger's words
content_tagsr ²(15) = 0.79 — strength of the relation between reported visibility level and the steepness of the identification sigmoid
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content_tags.quantities[6]the tagger's words
content_tags50% — the share of physically identical threshold trials reported unseen through internal variability alone
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content_tags.quantities[7]1.0the tagger's words
content_tags36.7 versus 16.9% — use of the zero-visibility response on target-absent against target-present trials, the check that the scale was used properly
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content_tags.quantities[8]1.0the tagger's words
content_tagsr ²(15) = 0.79 — the increase in sigmoid slope with visibility rating - the tested prediction
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content_tags.quantities[9]1.0the tagger's words
content_tags70% — the accuracy the per-subject staircase targeted before the experiment began
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content_tags.quantities[10]1.0the tagger's words

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