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Related Concept Videos

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
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Neural Circuits01:25

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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Organization of the Brain01:30

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The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
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Storage01:23

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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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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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Related Experiment Video

Updated: Apr 1, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Brain Networks and Cognitive Architectures.

Steven E Petersen1, Olaf Sporns2

  • 1Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Psychology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA.

Neuron
|October 9, 2015
PubMed
Summary
This summary is machine-generated.

Network science provides a framework for understanding brain structure and function. This approach, integrating systems neuroscience and human neuroimaging, illuminates the biological basis of cognitive architectures.

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Area of Science:

  • Cognitive Neuroscience
  • Network Science
  • Neurobiology

Background:

  • Traditional cognitive architecture studies primarily focus on computation, neglecting anatomical and physiological aspects.
  • A growing convergence between neurobiology and cognition is emerging.
  • Systems/cognitive neuroscience and network science are increasingly intersecting.

Purpose of the Study:

  • To explore the integration of network science principles within cognitive neuroscience.
  • To understand brain structure and function as a multi-scale network system.
  • To illuminate the biological basis of cognitive architectures using network approaches.

Main Methods:

  • Adoption of network tools and concepts to describe brain region operations.
  • Analysis of large-scale networks at the level of brain areas and systems.
  • Utilizing data primarily from human neuroimaging studies.

Main Results:

  • Network science offers a robust theoretical framework for studying the brain.
  • Brain structure and function can be conceptualized as a multi-scale network system.
  • This network perspective enhances understanding of cognitive architectures.

Conclusions:

  • The integration of network science with neuroscience provides novel insights into cognitive architectures.
  • Human neuroimaging data, analyzed through a network lens, is crucial for understanding the brain's biological basis.
  • Future research can further leverage network science to unravel complex cognitive functions.