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Related Concept Videos

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...
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.
Plastic Behavior01:21

Plastic Behavior

A material's elastic behavior is characterized by the disappearance of stress once the load is removed, allowing the material to return to its original state. However, when stress surpasses the yield point, yielding commences, marking the onset of plastic deformation or permanent set. This change from elastic to plastic behavior is influenced by the peak stress value and the duration before the load is removed. An intriguing observation occurs when a specimen is loaded, unloaded, and reloaded.
Plastic Deformations01:19

Plastic Deformations

Plastic deformation represents a fundamental concept in materials science, which explains the irreversible change in the shape of a material when it experiences stress beyond its elastic capability. This phenomenon is important in structural engineering, especially in designing and analyzing cantilever beams—structures that are securely fixed at one end and bear loads at the opposite end. When these beams are subjected to loads within their elastic range, they will return to their original...
Plastic Deformations01:14

Plastic Deformations

It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
Plastic Deformations of Members with a Single Plane of Symmetry01:21

Plastic Deformations of Members with a Single Plane of Symmetry

When a structural member undergoes plastic deformation due to bending, it is crucial to understand the position of the neutral axis and the stress distribution. This member, characterized by a single plane of symmetry, exhibits a uniform stress distribution, with negative stress above the neutral axis and positive stress below. Notably, the neutral axis does not align with the centroid of the cross-section. This misalignment is typical in cases where the cross-section is not rectangular or...

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Related Experiment Video

Updated: May 22, 2026

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
11:56

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Published on: November 11, 2017

Quantifying plasticity: A network-based framework linking structure to dynamical regimes.

Igor Branchi1

  • 1Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy; National Centre for Drug research and evaluation, Istituto Superiore di Sanità, Rome, Italy.

Neuroscience and Biobehavioral Reviews
|May 20, 2026
PubMed
Summary
This summary is machine-generated.

This study operationalizes plasticity in complex systems as a ratio of system size to connectivity strength. This network-based approach transforms plasticity into a predictive tool, quantifying a system's capacity for change and enabling cross-disciplinary comparisons.

Keywords:
BrainCapacity for changeComplexityComputationalContextEnvironmentNeuralOperationalizationPrognosticProspectivePsychopathology, mental healthSystem-level property

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Area of Science:

  • Complexity Science
  • Network Theory
  • Systems Biology

Background:

  • Plasticity is a key property of complex systems like the brain, but often remains a descriptive concept.
  • Existing definitions of plasticity are typically inferred retrospectively from observed outcomes.
  • A need exists for a formalized, predictive operationalization of plasticity.

Purpose of the Study:

  • To formalize a network-based operationalization of plasticity.
  • To define plasticity as the capacity for change within structural constraints.
  • To develop a predictive tool for quantifying a system's potential for change.

Main Methods:

  • Formalized plasticity as the ratio of system size to connectivity strength.
  • Defined system size by state space dimensionality and connectivity by system regime.
  • Identified an optimal plasticity range balancing change and coherence at intermediate connectivity.

Main Results:

  • Plasticity is defined as the capacity for change, not structural modification.
  • An optimal plasticity range emerges at intermediate connectivity, coinciding with the critical regime.
  • Introduced 'effective plasticity' as a normalized measure for cross-system comparisons.
  • Demonstrated plasticity's role in driving criticality and maintaining robust dynamics in larger systems.

Conclusions:

  • The network-based operationalization of plasticity provides a predictive, quantifiable measure.
  • This framework applies across diverse systems, including ecological, economic, and social domains.
  • Plasticity is reframed as a causal driver of criticality and a key determinant of system dynamics.