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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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Biological Influences on Intelligence01:30

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Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter...
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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.
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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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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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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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Updated: Sep 8, 2025

Perspectives on Neuroscience
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Artificial intelligence meets brain theory (again).

Michael A Arbib1

  • 1University of California at San Diego, La Jolla, CA, USA. arbib@usc.edu.

Biological Cybernetics
|June 27, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and brain theory (BT) research must advance beyond fitting artificial neural networks (ANNs) to data. Understanding brain function requires integrating structure-function analyses and studying diverse animal intelligences.

Keywords:
Artificial intelligenceBrain theoryCyberneticsHuman-machine symbiosisNeuroAINeuromorphic computing

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Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Cybernetics
  • Cognitive Science

Background:

  • The field of Biological Cybernetics explores the intersection of biological systems and control mechanisms.
  • Recent advancements in artificial intelligence (AI) and neuroscience necessitate a re-evaluation of the dialogue between artificial intelligence (AI) and brain theory (BT).
  • The NIH BRAIN NeuroAI 2024 Workshop provided a snapshot of current discussions.

Purpose of the Study:

  • To analyze the state of the conversation between AI and BT.
  • To offer recommendations that extend beyond previous editorial viewpoints.
  • To highlight the urgency of assessing societal implications of human-machine symbiosis.

Main Methods:

  • Analysis of talks from the NIH BRAIN NeuroAI 2024 Workshop.
  • Review of cybernetic origins in Biological Cybernetics.
  • Response to the editorial by Fellous et al. (2025).

Main Results:

  • Successes in fitting artificial neural networks (ANNs) to neuroscience datasets should not overshadow the quest to understand fundamental brain operating principles.
  • Integration of functional and structural analyses is crucial for understanding complex systems, bridging neural circuitry and behavior.
  • Studying diverse animal intelligences and survival strategies is essential, moving beyond a sole focus on language and reasoning.

Conclusions:

  • Continued focus on understanding "how the brain works" is paramount.
  • Integrating diverse analytical approaches is key to advancing brain theory.
  • Assessing the societal impact of human-machine symbiosis is an urgent priority.