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

Park, Seongmin A.; Miller, Douglas S.; Nili, Hamed; Ranganath, Charan; Boorman, Erie D.

doi:10.1016/j.neuron.2020.06.030

Cited by 172 publications

(192 citation statements)

References 108 publications

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“…We reported the results corrected for multiple comparisons across the whole brain using TFCE (Smith and Nichols, 2009) with 1000 iterations of simulation (pTFCE<0.05). In addition, because we hypothesized that that cognitive map representations would be found in HC and EC based on prior studies (O' Keefe and Nadel, 1978;Eichenbaum and Cohen, 2014;Park et al, 2020;Whittington et al, 2020), we report results in the HC and EC corrected in the anatomically defined ROI, (Amunts et al, 2005;Zilles and Amunts, 2010;Yushkevich et al, 2015) which is independent of the current study (pTFCE<0.05).…”

Section: Searchlight-based Rsamentioning

confidence: 71%

Inferences on a Multidimensional Social Hierarchy Use a Grid-like Code

Park

Miller

Boorman

2020

Preprint

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Generalizing experiences to guide decision making in novel situations is a hallmark of flexible behavior. It has been hypothesized such flexibility depends on a cognitive map of an environment or task, but directly linking the two has proven elusive. Here, we find that discretely sampled abstract relationships between entities in an unseen two-dimensional (2-D) social hierarchy are reconstructed into a unitary 2-D cognitive map in the hippocampus and entorhinal cortex. We further show that humans utilize a grid-like code in several brain regions, including entorhinal cortex and medial prefrontal cortex, for inferred direct trajectories between entities in the reconstructed abstract space during discrete decisions.Moreover, these neural grid-like codes in the entorhinal cortex predict neural decision value computations in the medial prefrontal cortex and temporoparietal junction area during choice.Collectively, these findings show that grid-like codes are used by the human brain to infer novel solutions, even in abstract and discrete problems, and suggest a general mechanism underpinning flexible decision making and generalization.

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Section: Searchlight-based Rsamentioning

confidence: 71%

Inferences on a Multidimensional Social Hierarchy Use a Grid-like Code

Park

Miller

Boorman

2020

Preprint

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“…These ideas are supported by findings that neural representations in MTL, as well as medial prefrontal cortex (mPFC), are involved in "navigation" of simple two-dimensional spaces of visual stimuli (Constantinescu et al, 2016;Theves et al, 2019Theves et al, , 2020, social spaces (Park et al, 2020;Tavares et al, 2015) and odor spaces (Bao et al, 2019). A recent study in the Journal of Neuroscience (Viganò & Piazza, 2020) takes this research further by suggesting that entorhinal cortex (EHC) and mPFC are capable of mapping not only sensory spaces, but also abstract semantic spaces.…”

Section: Introductionmentioning

confidence: 90%

Map-like representations of an abstract conceptual space in the human brain

Bokeria¹,

Henson²,

Mok³

2020

Preprint

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Much of higher cognition involves abstracting away from sensory details and thinking conceptually. How do our brains learn and represent such abstract concepts? Recent work has proposed that neural representations in the medial temporal lobe (MTL), which are involved in spatial navigation, might also support learning of higher-level knowledge structures. These ideas are supported by findings that neural representations in MTL, as well as medial prefrontal cortex (mPFC), are involved in “navigation” of simple two-dimensional spaces of visual stimuli, social spaces and odor spaces. A recent study in the Journal of Neuroscience by Viganò & Piazza (2020) takes this research further by suggesting that entorhinal cortex (EHC) and mPFC are capable of mapping not only sensory spaces, but also abstract semantic spaces. In this opinion piece, we first describe the paradigm and results of the study, as well as the importance of the findings for the field. We then raise several methodological concerns and suggest changes to the paradigm to address these issues. Finally, we discuss potential future research directions including experimental and modelling approaches to tackle outstanding questions in the field.

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“…These ideas are supported by findings that neural representations in the MTL, as well as the medial prefrontal cortex (mPFC), are involved in “navigation” of simple two-dimensional spaces of visual stimuli (Constantinescu et al, 2016 ; Theves et al, 2019 , 2020 ), social spaces (Tavares et al, 2015 ; Park et al, 2020 ), and odor spaces (Bao et al, 2019 ). A recent study in the Journal of Neuroscience (Viganò and Piazza, 2020 ) takes this research further by suggesting that the entorhinal cortex (EHC) and the mPFC are capable of mapping not only sensory spaces, but also abstract semantic spaces.…”

Section: Introductionmentioning

confidence: 92%