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Related Concept Videos

Plasticity00:58

Plasticity

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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...
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Neuroplasticity01:01

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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.
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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.
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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...
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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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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

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Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
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Stable continual learning through structured multiscale plasticity manifolds.

Poonam Mishra1, Rishikesh Narayanan1

  • 1Cellular Neurophysiology Laboratory, Molecular Biophysics Unit, Indian Institute of Science, Bangalore 560012, India.

Current Opinion in Neurobiology
|August 20, 2021
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Summary
This summary is machine-generated.

The brain achieves stable learning by using structured rules that guide how multiple components change together. These organized plasticity rules create dynamic manifolds essential for adapting to environmental changes.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Biology

Background:

  • Biological plasticity is fundamental for brain adaptation to environmental changes.
  • The brain's ability to manage complex, multi-component plasticity remains a key question.
  • Understanding the rules governing brain plasticity is crucial for learning and behavior.

Purpose of the Study:

  • To systematically explain how the brain achieves stable, continuous learning amidst ubiquitous biological plasticity.
  • To propose that structured rules govern plasticity, creating low-dimensional manifolds.
  • To explore the multiscale impacts and dynamic nature of these plasticity manifolds.

Main Methods:

  • Theoretical framework development focusing on rule-based plasticity.
  • Analysis of cell type-specific molecular signaling pathways.
  • Exploration of multiscale impacts from molecular to behavioral levels.

Main Results:

  • Stable learning emerges from structured rules enforcing coordinated changes in specific plasticity components.
  • A low-dimensional plasticity manifold arises from cell type-specific signaling.
  • These manifolds are dynamic, influenced by neuromodulation, metaplasticity, and pathology, and linked to heterogeneity and degeneracy.

Conclusions:

  • Plasticity manifolds, governed by structured rules, are fundamental to behavioral learning and adaptation.
  • Incorporating plasticity manifolds into theoretical and experimental frameworks is essential.
  • Further research should investigate the dynamic regulation and implications of plasticity manifolds in health and disease.