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Related Concept Videos

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...
Long-term Depression01:03

Long-term Depression

Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
Calcium Ion Concentration Mechanism
If over time, all...
Long-term Depression01:05

Long-term Depression

Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) 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.
Postsynaptic Potential (PSP)01:32

Postsynaptic Potential (PSP)

Postsynaptic potential (PSP) refers to a change in the electrical potential of a neuron when neurotransmitters released by presynaptic neurons bind to postsynaptic receptors. This potential can either be excitatory, leading to depolarization and ultimately action potential generation, or inhibitory, leading to hyperpolarization and suppression of the postsynaptic neuron.
There are two types of receptors: ionotropic and metabotropic.
The ionotropic receptor is the membrane protein that has an...

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Related Experiment Video

Updated: Jul 6, 2026

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Spine dynamics and synapse remodeling during LTP and memory processes.

M De Roo1, P Klauser, P Mendez Garcia

  • 1Department of Neuroscience, Centre Médical Universitaire, 1211 Geneva 4, Switzerland.

Progress in Brain Research
|April 9, 2008
PubMed
Summary
This summary is machine-generated.

Synaptic plasticity involves not only changes in transmission efficacy but also structural reorganization of neural networks. Dendritic spine turnover, enhanced by sensory input or injury, plays a key role in learning and memory.

More Related Videos

Improved Preparation and Preservation of Hippocampal Mouse Slices for a Very Stable and Reproducible Recording of Long-term Potentiation
09:39

Improved Preparation and Preservation of Hippocampal Mouse Slices for a Very Stable and Reproducible Recording of Long-term Potentiation

Published on: June 26, 2013

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software
07:45

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software

Published on: September 27, 2024

Related Experiment Videos

Last Updated: Jul 6, 2026

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Improved Preparation and Preservation of Hippocampal Mouse Slices for a Very Stable and Reproducible Recording of Long-term Potentiation
09:39

Improved Preparation and Preservation of Hippocampal Mouse Slices for a Very Stable and Reproducible Recording of Long-term Potentiation

Published on: June 26, 2013

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software
07:45

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software

Published on: September 27, 2024

Area of Science:

  • Neuroscience
  • Cell Biology
  • Learning and Memory

Background:

  • Synaptic efficacy changes are traditionally linked to learning.
  • Emerging evidence suggests structural plasticity in neural networks is also crucial.

Purpose of the Study:

  • To explore the role of structural synaptic plasticity in learning and memory.
  • To discuss the implications of dendritic spine dynamics in neural plasticity.

Main Methods:

  • Review of existing studies on synaptic structure and plasticity.
  • Analysis of confocal in vivo imaging data on dendritic spine turnover.

Main Results:

  • Morphological changes in dendritic spines and postsynaptic densities are observed.
  • New protrusions can form upon stimulation.
  • Dendritic spines exhibit continuous turnover, influenced by development, sensory activation, and brain damage.

Conclusions:

  • Structural reorganization of synaptic networks is a significant aspect of neural plasticity.
  • Dendritic spine dynamics contribute to the mechanisms underlying learning and memory.