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Here, we investigate how cognitive control enables flexible top-down selection of goal-relevant information from multidimensional cognitive maps retrieved from memory. We examine the relationship between cognitive control and representational geometry by conducting parallel analyses of functional magnetic resonance imaging data and recurrent neural network models trained to perform the same task. We find both stable map-like representations in a medial temporal lobe and orbitofrontal cortical network that reflect both task-relevant and irrelevant dimensions and context-dependent, orthogonal representations of only task-relevant dimensions in a frontoparietal network. These representational motifs also emerge with distinct temporal profiles over the course of training in the recurrent neural network, with map-like representations appearing first. We further show that increasing control demands due to incongruence (conflicting responses) between current task-relevant and irrelevant dimensions impact the geometry of subjective representations, and the degree of this effect further accounts for individual differences in cognitive control. Taken together, our findings show how complementary representational geometries balance stability and behavioral flexibility, and reveal an intricate relationship between cognitive control and cognitive map geometry.<\/jats:p>","DOI":"10.1101\/2023.02.04.527142","type":"posted-content","created":{"date-parts":[[2023,2,5]],"date-time":"2023-02-05T00:40:15Z","timestamp":1675557615000},"source":"Crossref","is-referenced-by-count":7,"title":["The representational geometry of cognitive maps under cognitive control"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8361-2277","authenticated-orcid":false,"given":"Seongmin A.","family":"Park","sequence":"first","affiliation":[{"name":"Center for Mind and Brain, UC Davis, USA"},{"name":"Departments of Psychology, Virginia Tech, USA"},{"name":"Biomedical Engineering, Virginia Tech, USA"},{"name":"School of Neuroscience, Virginia Tech, USA"},{"name":"UMR 5229, CNRS, Lyon, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7960-7467","authenticated-orcid":false,"given":"Maryam","family":"Zolfaghar","sequence":"additional","affiliation":[{"name":"Department of Computer Science, UC Davis, USA"},{"name":"Department of Psychology, UC Davis, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6821-3438","authenticated-orcid":false,"given":"Jacob","family":"Russin","sequence":"additional","affiliation":[{"name":"Department of Psychology, UC Davis, USA"},{"name":"Department of Cognitive and Psychological Sciences, Brown University, USA"},{"name":"Department of Computer Science, Brown University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8070-8102","authenticated-orcid":false,"given":"Douglas S.","family":"Miller","sequence":"additional","affiliation":[{"name":"Center for Mind and Brain, UC Davis, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0322-4600","authenticated-orcid":false,"given":"Randall C.","family":"O\u2019Reilly","sequence":"additional","affiliation":[{"name":"Department of Computer Science, UC Davis, USA"},{"name":"Department of Psychology, UC Davis, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8438-4499","authenticated-orcid":false,"given":"Erie D.","family":"Boorman","sequence":"additional","affiliation":[{"name":"Center for Mind and Brain, UC Davis, USA"},{"name":"Department of Psychology, UC Davis, USA"},{"name":"Department of Psychology, UCLA, USA"},{"name":"Brain Research Institute, UCLA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"54368","reference":[{"key":"2026081908100604000_2023.02.04.527142v3.1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.24.1.167"},{"key":"2026081908100604000_2023.02.04.527142v3.2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2021.03.011"},{"key":"2026081908100604000_2023.02.04.527142v3.3","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2022.03.009"},{"key":"2026081908100604000_2023.02.04.527142v3.4","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2021.06.001"},{"key":"2026081908100604000_2023.02.04.527142v3.5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2020.09.031"},{"key":"2026081908100604000_2023.02.04.527142v3.6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ceb.2015.08.002"},{"key":"2026081908100604000_2023.02.04.527142v3.7","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1013361108"},{"key":"2026081908100604000_2023.02.04.527142v3.8","doi-asserted-by":"crossref","unstructured":"Takagi, Y. , Hunt, L. 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