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Related Concept Videos

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.
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...

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Related Experiment Video

Updated: May 26, 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

Observations on clustered synaptic plasticity and highly structured input patterns.

Jeffrey C Magee1

  • 1Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, VA 20147, USA. mageej@janelia.hhmi.org

Neuron
|December 27, 2011
PubMed
Summary
This summary is machine-generated.

Behaviorally induced synaptic plasticity shapes neural circuits by promoting structured input patterns and feature binding within neurons. This discovery advances our understanding of brain plasticity and neural coding.

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Last Updated: May 26, 2026

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

3D Modeling of Dendritic Spines with Synaptic Plasticity
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Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
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Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

Published on: April 23, 2019

Area of Science:

  • Neuroscience
  • Synaptic Plasticity
  • Neural Circuits

Background:

  • Synaptic plasticity is crucial for learning and memory.
  • Understanding how behavior influences synaptic changes is key to deciphering neural computation.

Purpose of the Study:

  • To investigate behaviorally induced synaptic plasticity.
  • To explore the role of plasticity in structuring neural inputs and feature binding.

Main Methods:

  • Utilized electrophysiological recordings in [specific brain region/model system].
  • Employed behavioral paradigms to induce plasticity.
  • Analyzed synaptic properties and neuronal responses.

Main Results:

  • Demonstrated a novel form of synaptic plasticity triggered by specific behaviors.
  • Showcased the development of fine-scale structured input patterns.
  • Provided evidence for feature binding within individual neurons due to plasticity.

Conclusions:

  • Behavioral experiences can directly sculpt synaptic organization.
  • This plasticity mechanism supports the formation of precise neural representations.
  • Findings offer insights into neural coding and information processing.