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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.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Introduction to Biological Bases of Psychology01:30

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Biopsychology serves as a vital bridge connecting the intricate domains of biology and psychology, shedding light on how biological systems influence psychological phenomena. This field scrutinizes the biological substrates of behavior and mental processes, emphasizing the nervous system along with the roles of neurotransmitters, hormones, and genetics. It also incorporates evolutionary perspectives to explain the adaptive nature of mental functions.
The nervous system, the cornerstone of...
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Functional Brain Systems: Limbic System01:15

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The limbic system, often called the "emotional brain," is a complex set of structures located deep within the brain. The intricate network of the limbic system supports a wide range of psychological functions, from emotional regulation to memory formation and sensory processing. This functional brain region encompasses specific parts of the diencephalon and the cerebrum, integrating the higher mental functions of the cerebral cortex with the primitive emotional responses of the deep brain...
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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.
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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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Functional Brain Systems: Reticular Formation01:13

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The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
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Perspectives on Neuroscience
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[The predictive mind: An introduction to Bayesian Brain Theory].

H Bottemanne1, Y Longuet2, C Gauld3

  • 1Paris Brain Institute - Institut du Cerveau (ICM), Sorbonne university/CNRS/Inserm, Paris, France; Sorbonne University, Department of Philosophy, SND research unit, UMR 8011, CNRS, Paris, France; Department of psychiatry, Pitié-Salpêtrière hospital, DMU Neuroscience, Sorbonne university, Assistance publique-Hôpitaux de Paris (AP-HP), Paris, France.

L'Encephale
|January 11, 2022
PubMed
Summary
This summary is machine-generated.

Bayesian Brain Theory explains cognition using predictive processing. It models how the brain uses predictions and prediction errors to update beliefs about sensory input for perception and decision-making.

Keywords:
Bayesian brainBayesianismBayésianismeBeliefBelief updatingCerveau bayésienCodage prédictifComputational neuroscienceComputational psychiatryCroyanceInteroceptionMise à jour des croyancesNeurosciences computationnellesPredictive codingPredictive processingTraitement prédictif

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Philosophy of Mind

Background:

  • Cognitive science seeks to understand the mind's workings, focusing on perception, decision-making, and learning.
  • Bayesian Brain Theory provides a computational framework for cognitive processes.

Purpose of the Study:

  • Introduce the fundamentals of Bayesian Brain Theory.
  • Explain its hybridization of philosophy of mind and neuroscience data.
  • Illustrate its application to complex cognitive processes and psychiatric symptoms.

Main Methods:

  • Computational modeling based on Predictive Processing (PP) principles.
  • Formulating cognitive processes mathematically.
  • Integrating philosophical concepts with empirical neuroscience.

Main Results:

  • Bayesian Brain Theory models belief formation as probabilistic states.
  • The brain generates predictions and updates beliefs using prediction errors.
  • This framework can explain perception, action, emotion, belief, and psychiatric symptomatology.

Conclusions:

  • Bayesian Brain Theory offers a unified, mechanistic explanation for cognitive functions.
  • It bridges theoretical concepts with empirical evidence in neuroscience.
  • The theory has broad implications for understanding both normal and disordered cognition.