{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T06:20:27Z","timestamp":1772173227948,"version":"3.50.1"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1010747","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T00:00:00Z","timestamp":1671062400000}}],"reference-count":70,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:00:00Z","timestamp":1670198400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010663","name":"H2020 European Research Council","doi-asserted-by":"publisher","award":["ERC-2020-COG-101000972"],"award-info":[{"award-number":["ERC-2020-COG-101000972"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]},{"name":"DFG","award":["SP 1510\/6-1"],"award-info":[{"award-number":["SP 1510\/6-1"]}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>When judging the average value of sample stimuli (e.g., numbers) people tend to either over- or underweight extreme sample values, depending on task context. In a context of overweighting, recent work has shown that extreme sample values were overly represented also in neural signals, in terms of an anti-compressed geometry of number samples in multivariate electroencephalography (EEG) patterns. Here, we asked whether neural representational geometries may also reflect a relative underweighting of extreme values (i.e., compression) which has been observed behaviorally in a great variety of tasks. We used a simple experimental manipulation (instructions to average a single-stream or to compare dual-streams of samples) to induce compression or anti-compression in behavior when participants judged rapid number sequences. Model-based representational similarity analysis (RSA) replicated the previous finding of neural anti-compression in the dual-stream task, but failed to provide evidence for neural compression in the single-stream task, despite the evidence for compression in behavior. Instead, the results indicated enhanced neural processing of extreme values in either task, regardless of whether extremes were over- or underweighted in subsequent behavioral choice. We further observed more general differences in the neural representation of the sample information between the two tasks. Together, our results indicate a mismatch between sample-level EEG geometries and behavior, which raises new questions about the origin of common psychometric distortions, such as diminishing sensitivity for larger values.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1010747","type":"journal-article","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T13:29:48Z","timestamp":1670246988000},"page":"e1010747","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":4,"title":["EEG-representational geometries and psychometric distortions in approximate numerical judgment"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8002-0877","authenticated-orcid":true,"given":"Stefan","family":"Appelhoff","sequence":"first","affiliation":[]},{"given":"Ralph","family":"Hertwig","sequence":"additional","affiliation":[]},{"given":"Bernhard","family":"Spitzer","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2022,12,5]]},"reference":[{"key":"pcbi.1010747.ref001","doi-asserted-by":"crossref","first-page":"23","DOI":"10.2307\/1909829","article-title":"Exposition of a New Theory on the Measurement of Risk","volume":"22","author":"D. 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