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Related Concept Videos

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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...
Storage01:23

Storage

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 each...
Neural Circuits01:25

Neural Circuits

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.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
Concepts and Prototypes01:24

Concepts and Prototypes

The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Published on: March 2, 2015

[Connectionist simulation in neuropsychology].

J Aróztegui1, J M Prados

  • 1Sección Departamental de Lógica, Universidad Complutense de Madrid, Pozuelo, Madrid, Spain.

Revista De Neurologia
|March 18, 2009
PubMed
Summary

Connectionist neuropsychology uses artificial neural networks to model brain injury disorders, offering more accurate and specific insights than traditional methods. This approach enhances understanding and aids in developing new rehabilitation strategies.

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Psychology

Background:

  • Connectionist neuropsychology, utilizing artificial neural networks, emerged in the early 1990s.
  • It aims to simulate cognitive disorders arising from brain injuries.
  • This approach remains underutilized among Spanish researchers and health professionals.

Purpose of the Study:

  • To increase awareness of connectionist neuropsychology as a research tool.
  • To review the advantages and disadvantages of specific connectionist models.
  • To highlight the potential of artificial neural networks in neuropsychological research.

Main Methods:

  • Introduction to the core principles of connectionist simulation.
  • Outline of key models simulating aphasias, dyslexias, agnosias, and apraxias.

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  • Comparison of connectionist models with classic information processing models.
  • Main Results:

    • Connectionist models demonstrate superior accuracy and specificity compared to classic models.
    • These models offer a more manageable and realistic approach to understanding complex cognitive disorders.
    • Simulations facilitate the study of brain injury effects and previously inaccessible brain functions.

    Conclusions:

    • Connectionist neuropsychology provides a powerful framework for modeling brain injuries.
    • The approach inspires novel experimental research designs and rehabilitation techniques.
    • It offers a more nuanced understanding of cognitive deficits and brain function.