Literature DB >> 32702288

Map Making: Constructing, Combining, and Inferring on Abstract Cognitive Maps.

Seongmin A Park1, Douglas S Miller2, Hamed Nili3, Charan Ranganath4, Erie D Boorman5.   

Abstract

Cognitive maps enable efficient inferences from limited experience that can guide novel decisions. We tested whether the hippocampus (HC), entorhinal cortex (EC), and ventromedial prefrontal cortex (vmPFC)/medial orbitofrontal cortex (mOFC) organize abstract and discrete relational information into a cognitive map to guide novel inferences. Subjects learned the status of people in two unseen 2D social hierarchies, with each dimension learned on a separate day. Although one dimension was behaviorally relevant, multivariate activity patterns in HC, EC, and vmPFC/mOFC were linearly related to the Euclidean distance between people in the mentally reconstructed 2D space. Hubs created unique comparisons between the hierarchies, enabling inferences between novel pairs. We found that both behavior and neural activity in EC and vmPFC/mOFC reflected the Euclidean distance to the retrieved hub, which was reinstated in HC. These findings reveal how abstract and discrete relational structures are represented, are combined, and enable novel inferences in the human brain.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  2D space; Cognitive map; Entorhinal cortex; Euclidean; Generalization; Hippocampus; Inference; Model based; Orbitofrontal cortex; Social network

Mesh:

Year:  2020        PMID: 32702288      PMCID: PMC7529977          DOI: 10.1016/j.neuron.2020.06.030

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  30 in total

Review 1.  If deep learning is the answer, what is the question?

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Journal:  Nat Rev Neurosci       Date:  2020-11-16       Impact factor: 34.870

2.  Cognitive maps of social features enable flexible inference in social networks.

Authors:  Jae-Young Son; Apoorva Bhandari; Oriel FeldmanHall
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-28       Impact factor: 11.205

3.  Specifying a relationship between semantic and episodic memory in the computation of a feature-based familiarity signal using MINERVA 2.

Authors:  Katherine L McNeely-White; David G McNeely-White; Andrew M Huebert; Brooke N Carlaw; Anne M Cleary
Journal:  Mem Cognit       Date:  2021-09-13

4.  Inferences on a multidimensional social hierarchy use a grid-like code.

Authors:  Seongmin A Park; Douglas S Miller; Erie D Boorman
Journal:  Nat Neurosci       Date:  2021-08-31       Impact factor: 24.884

5.  Reinforcement learning with associative or discriminative generalization across states and actions: fMRI at 3 T and 7 T.

Authors:  Jaron T Colas; Neil M Dundon; Raphael T Gerraty; Natalie M Saragosa-Harris; Karol P Szymula; Koranis Tanwisuth; J Michael Tyszka; Camilla van Geen; Harang Ju; Arthur W Toga; Joshua I Gold; Dani S Bassett; Catherine A Hartley; Daphna Shohamy; Scott T Grafton; John P O'Doherty
Journal:  Hum Brain Mapp       Date:  2022-07-21       Impact factor: 5.399

6.  The Structure of Systematicity in the Brain.

Authors:  Randall C O'Reilly; Charan Ranganath; Jacob L Russin
Journal:  Curr Dir Psychol Sci       Date:  2022-03-24

7.  Concept formation as a computational cognitive process.

Authors:  Neal W Morton; Alison R Preston
Journal:  Curr Opin Behav Sci       Date:  2021-01-08

Review 8.  What are grid-like responses doing in the orbitofrontal cortex?

Authors:  Clara U Raithel; Jay A Gottfried
Journal:  Behav Neurosci       Date:  2021-03-18       Impact factor: 1.912

9.  Low competitive status elicits aggression in healthy young men: behavioural and neural evidence.

Authors:  Macià Buades-Rotger; Martin Göttlich; Ronja Weiblen; Pauline Petereit; Thomas Scheidt; Brian G Keevil; Ulrike M Krämer
Journal:  Soc Cogn Affect Neurosci       Date:  2021-11-15       Impact factor: 3.436

Review 10.  Structuring Knowledge with Cognitive Maps and Cognitive Graphs.

Authors:  Michael Peer; Iva K Brunec; Nora S Newcombe; Russell A Epstein
Journal:  Trends Cogn Sci       Date:  2020-11-26       Impact factor: 20.229

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