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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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Theoretical Approaches to Psychological Disorder01:29

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The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
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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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Introduction to Biological Bases of Psychology01:30

Introduction to Biological Bases of Psychology

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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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Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Psychosurgery01:30

Psychosurgery

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Psychosurgery, the surgical alteration or permanent removal of brain tissue to alleviate severe psychological conditions, stands as one of the most radical and controversial treatments in the history of mental health care. Its development and application have evolved significantly, marked by dramatic shifts in scientific understanding and ethical perspectives.
Historical Development of Psychosurgery
In the 1930s, Portuguese neurologist Antonio Egas Moniz introduced a surgical procedure designed...
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Updated: Oct 5, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
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Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches.

Ali Khaleghi1, Mohammad Reza Mohammadi1, Kian Shahi1

  • 1Psychiatry and Psychology Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Clinical Psychopharmacology and Neuroscience : the Official Scientific Journal of the Korean College of Neuropsychopharmacology
|January 26, 2022
PubMed
Summary

Computational neuroscience offers powerful tools to understand complex psychiatric disorders. This review highlights theory-driven computational models that link brain changes to behavior, aiding psychiatric treatment.

Keywords:
Mathematical computingNeurosciencePsychiatryTheoretical models

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Computational Biology

Background:

  • Translating neuroscience findings into psychiatric treatments is challenging due to brain complexity.
  • Powerful computational techniques are needed to address this complexity.

Purpose of the Study:

  • To review recent advances in theory-driven computational neuroscience approaches for psychiatric disorders.
  • To demonstrate how computational models can explain psychopathology.

Main Methods:

  • Focus on theory-driven computational neuroscience models.
  • Mathematically and mechanistically examine brain-behavior relationships across different organizational levels.
  • Review computational neuroscience models relevant to psychiatry.

Main Results:

  • Theory-driven approaches provide mechanistic insights into psychiatric disorders.
  • Computational models can link disorder-related brain changes to observable behaviors.
  • Principles of neural computational modeling can explain psychopathology.

Conclusions:

  • Computational neuroscience is crucial for advancing psychiatric research and treatment.
  • Theory-driven models offer a framework for understanding the neural basis of psychiatric conditions.
  • This approach enhances the comprehension, prediction, and treatment of psychiatric disorders.