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Related Concept Videos

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.
Plasticity00:58

Plasticity

Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
Long-term Potentiation01:25

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when presynaptic neurons...
Long-term Potentiation01:35

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Cognitivism01:17

Cognitivism

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 information is...
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at the...

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Related Experiment Video

Updated: Jun 20, 2026

Visualization of Cortical Modules in Flattened Mammalian Cortices
08:49

Visualization of Cortical Modules in Flattened Mammalian Cortices

Published on: January 22, 2018

Cognitive Plasticity and Cortical Modules.

Eduardo Mercado1

  • 1University at Buffalo, The State University of New York.

Current Directions in Psychological Science
|September 15, 2009
PubMed
Summary
This summary is machine-generated.

Cognitive-skill learning capacity depends on specialized brain circuits, flexible neural coordination, and adaptable brain networks. Understanding these factors is key to enhancing learning and developing new technologies.

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Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Comparative Psychology

Background:

  • Organisms exhibit diverse learning and cognitive abilities, including calculation, knowledge accumulation, and communication.
  • The factors determining the ease with which species or individuals acquire specific intellectual abilities remain largely unclear.

Purpose of the Study:

  • To propose a framework explaining the capacity for cognitive-skill learning.
  • To identify the key biological and neural factors that underlie differences in learning capacity.

Main Methods:

  • The study proposes a theoretical framework based on existing biological and cognitive principles.
  • It does not involve new experimental data but synthesizes current understanding.

Main Results:

  • Cognitive-skill learning capacity is proposed to reflect three core factors: specialized cortical circuits, flexible coordination of cortical activity, and customizable cortical networks.
  • This framework offers a potential explanation for variations in learning across species, individuals, and developmental stages.

Conclusions:

  • Understanding the constraints on cognitive plasticity is crucial for advancing educational practices and technological development.
  • Further research into these neural mechanisms can unlock potential for maximizing intellectual advancements.