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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...
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...
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.
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...

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Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
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Published on: November 11, 2017

Structural plasticity upon learning: regulation and functions.

Pico Caroni1, Flavio Donato, Dominique Muller

  • 1Friedrich Miescher Institut, 4058 Basel, Switzerland. Pico.Caroni@fmi.ch

Nature Reviews. Neuroscience
|June 21, 2012
PubMed
Summary
This summary is machine-generated.

Behavioral learning involves synapse gain and elimination, creating memory traces. Understanding these memory processes requires studying synapse networks in situ.

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Area of Science:

  • Neuroscience
  • Synaptic Plasticity
  • Learning and Memory

Background:

  • Behavioral learning is linked to specific synapse gain and elimination processes.
  • Synapse turnover, modulated by inhibitory connectivity, precedes connectivity rearrangements.
  • Synaptic plasticity involves signaling pathways partially overlapping with those in behavioral learning.

Purpose of the Study:

  • To provide evidence for synapse gain and elimination in behavioral learning.
  • To explore the role of synapse turnover and inhibitory connectivity.
  • To investigate the spatial and molecular characteristics of behaviorally related synapse rearrangements.

Main Methods:

  • Monitoring ensembles of synapses in situ.
  • Developing synaptic network models.
  • Analyzing synapse turnover and connectivity changes.

Main Results:

  • Evidence confirms synapse gain and elimination drive memory traces influencing behavior.
  • Enhanced synapse turnover precedes connectivity rearrangements.
  • Behaviorally relevant synapse rearrangements occur spatially and involve overlapping signaling pathways.

Conclusions:

  • Mechanistic understanding of learning and memory requires in situ synapse monitoring.
  • Synaptic network models must integrate both functional and connectivity changes.
  • Future research should focus on the interplay between synapse dynamics and behavior.