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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.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Cognitivism01:17

Cognitivism

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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.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
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Information Processing Approach01:30

Information Processing Approach

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The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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Reason and Intuition01:37

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Storage01:23

Storage

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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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Related Experiment Video

Updated: Jun 28, 2025

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
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Computation for cognitive science: Analog versus digital.

Corey J Maley1

  • 1Department of Philosophy, Purdue University, West Lafayette, Indiana, USA.

Wiley Interdisciplinary Reviews. Cognitive Science
|April 24, 2024
PubMed
Summary
This summary is machine-generated.

Cognitive science views the mind as a computational system. Recognizing analog computation alongside digital computation offers richer insights into brain functions.

Keywords:
analogcomputationdigitalrepresentation

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Area of Science:

  • Philosophy of Mind
  • Cognitive Science
  • Computational Theory

Background:

  • Cognitive science posits that the mind/brain operates computationally.
  • This perspective is central to understanding mental processes.
  • However, current models often overlook analog computation.

Purpose of the Study:

  • To highlight the theoretical importance of analog computation in cognitive science.
  • To argue for a more inclusive understanding of computation beyond digital paradigms.
  • To explore how analog computation can offer novel frameworks for studying the mind/brain.

Main Methods:

  • Conceptual analysis of computational paradigms.
  • Philosophical examination of the mind-brain computational hypothesis.
  • Comparative study of digital versus analog computation in cognitive contexts.

Main Results:

  • The exclusive focus on digital computation limits cognitive science's explanatory power.
  • Analog computation offers a distinct and valuable theoretical perspective.
  • Integrating analog computation can lead to innovative research hypotheses.

Conclusions:

  • A comprehensive understanding of computation, including analog forms, is essential for advancing cognitive science.
  • Revisiting earlier computing paradigms can yield novel insights into the mind/brain.
  • Embracing diverse computational models enriches the study of cognition.