Literature DB >> 30359611

What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior.

Timothy E J Behrens1, Timothy H Muller2, James C R Whittington2, Shirley Mark3, Alon B Baram2, Kimberly L Stachenfeld4, Zeb Kurth-Nelson5.   

Abstract

It is proposed that a cognitive map encoding the relationships between entities in the world supports flexible behavior, but the majority of the neural evidence for such a system comes from studies of spatial navigation. Recent work describing neuronal parallels between spatial and non-spatial behaviors has rekindled the notion of a systematic organization of knowledge across multiple domains. We review experimental evidence and theoretical frameworks that point to principles unifying these apparently disparate functions. These principles describe how to learn and use abstract, generalizable knowledge and suggest that map-like representations observed in a spatial context may be an instance of general coding mechanisms capable of organizing knowledge of all kinds. We highlight how artificial agents endowed with such principles exhibit flexible behavior and learn map-like representations observed in the brain. Finally, we speculate on how these principles may offer insight into the extreme generalizations, abstractions, and inferences that characterize human cognition.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cognitive Map; Decision Making; Generalization; Hippocampal Formation; Inference; Prefrontal Cortex; Reinforcement Learning; Spatial Cognition; Statistical Learning; Structure Learning

Mesh:

Year:  2018        PMID: 30359611     DOI: 10.1016/j.neuron.2018.10.002

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


  135 in total

Review 1.  Mesoscopic Neural Representations in Spatial Navigation.

Authors:  Lukas Kunz; Shachar Maidenbaum; Dong Chen; Liang Wang; Joshua Jacobs; Nikolai Axmacher
Journal:  Trends Cogn Sci       Date:  2019-05-23       Impact factor: 20.229

2.  Closed-Loop Theta Stimulation in the Orbitofrontal Cortex Prevents Reward-Based Learning.

Authors:  Eric B Knudsen; Joni D Wallis
Journal:  Neuron       Date:  2020-03-10       Impact factor: 17.173

Review 3.  Two views on the cognitive brain.

Authors:  David L Barack; John W Krakauer
Journal:  Nat Rev Neurosci       Date:  2021-04-15       Impact factor: 34.870

Review 4.  The default mode network in cognition: a topographical perspective.

Authors:  Jonathan Smallwood; Boris C Bernhardt; Robert Leech; Danilo Bzdok; Elizabeth Jefferies; Daniel S Margulies
Journal:  Nat Rev Neurosci       Date:  2021-07-05       Impact factor: 34.870

5.  Hippocampal neurons represent events as transferable units of experience.

Authors:  Chen Sun; Wannan Yang; Jared Martin; Susumu Tonegawa
Journal:  Nat Neurosci       Date:  2020-04-06       Impact factor: 24.884

Review 6.  If deep learning is the answer, what is the question?

Authors:  Andrew Saxe; Stephanie Nelli; Christopher Summerfield
Journal:  Nat Rev Neurosci       Date:  2020-11-16       Impact factor: 34.870

7.  On the relationship between trait autobiographical episodic memory and spatial navigation.

Authors:  Carina L Fan; Hervé Abdi; Brian Levine
Journal:  Mem Cognit       Date:  2020-10-13

8.  The Hippocampus Maps Concept Space, Not Feature Space.

Authors:  Stephanie Theves; Guillén Fernández; Christian F Doeller
Journal:  J Neurosci       Date:  2020-08-21       Impact factor: 6.167

9.  Distance and Direction Codes Underlie Navigation of a Novel Semantic Space in the Human Brain.

Authors:  Simone Viganò; Manuela Piazza
Journal:  J Neurosci       Date:  2020-02-14       Impact factor: 6.167

10.  Sequence structure organizes items in varied latent states of working memory neural network.

Authors:  Qiaoli Huang; Huihui Zhang; Huan Luo
Journal:  Elife       Date:  2021-07-26       Impact factor: 8.140

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