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A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
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A schema is a mental construct that organizes related concepts, allowing the brain to process information efficiently. Upon activation, schemata facilitate assumptions about people or objects.
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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
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Related Experiment Video

Updated: Dec 31, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Mental models use common neural spatial structure for spatial and abstract content.

Katherine L Alfred1, Andrew C Connolly2, Joshua S Cetron3

  • 1Department of Psychological and Brain Sciences, Dartmouth College, 6207 Moore Hall, Hanover, NH, 03755, USA. Katherine.l.alfred.gr@dartmouth.edu.

Communications Biology
|January 12, 2020
PubMed
Summary
This summary is machine-generated.

Neural representations of mental models in transitive reasoning are not content-specific. This cognitive framework relies on a frontoparietal network, regardless of whether information is visuospatial or abstract.

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging

Background:

  • Mental models aid information organization and reasoning.
  • Transitive reasoning studies often use spatial stimuli, raising questions about content specificity.

Purpose of the Study:

  • To test if neural representations of mental models in transitive reasoning are independent of stimulus content.
  • To investigate the role of the frontoparietal network in abstract and visuospatial reasoning.

Main Methods:

  • Multivariate representational similarity analysis (RSA).
  • Examined neural patterns during the generation of mental models from inferred relationships.
  • Used stimuli ranging from visuospatial to abstract content.

Main Results:

  • Representational patterns of mental models were found in the superior parietal lobule and anterior prefrontal cortex.
  • These neural patterns converged across different stimulus types (visuospatial and abstract).

Conclusions:

  • Transitive reasoning using mental models engages a frontoparietal network irrespective of content.
  • Neural mechanisms supporting spatial cognition are crucial for abstract reasoning, supporting a domain-general role.