Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Neuroplasticity01:01

Neuroplasticity

618
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.
618
Long-term Potentiation01:25

Long-term Potentiation

2.8K
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...
2.8K
Long-term Depression01:03

Long-term Depression

2.6K
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...
2.6K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.3K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.3K
Ligand-Gated Ion Channel Receptor: Gating Mechanism01:30

Ligand-Gated Ion Channel Receptor: Gating Mechanism

2.3K
Ligand-gated ion channels are transmembrane proteins that play a vital role in intercellular communication and functions of the nervous system. They allow the influx of ions across the membrane once the neurotransmitter binds, allowing the subsequent transmission of electrical excitation across the neurons. Other ligand-gated ion channels, like the γ-aminobutyric acid (GABA) receptor, permit anions like chloride into the cells on the binding of the GABA molecule. Their entry into the cell...
2.3K
Plasticity00:58

Plasticity

2.5K
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...
2.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Flexible integration of natural stimuli by auditory cortical neurons.

Journal of neurophysiology·2026
Same author

'Backpropagation and the brain' realized in cortical error neuron microcircuits.

PLoS computational biology·2026
Same author

Functional reorganization of motor cortex connectivity during learning.

bioRxiv : the preprint server for biology·2026
Same author

Movie reconstruction from mouse visual cortex activity.

eLife·2026
Same author

A computational framework for epigenetic plasticity in memory.

Brain : a journal of neurology·2026
Same author

Context-dependent activation of V1 parvalbumin interneurons enhances visual discrimination.

PLoS biology·2025
Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Aug 2, 2025

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

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.9K

Dendrites help mitigate the plasticity-stability dilemma.

Katharina A Wilmes1,2, Claudia Clopath3

  • 1Imperial College London, London, United Kingdom. katharina.wilmes@unibe.ch.

Scientific Reports
|April 21, 2023
PubMed
Summary
This summary is machine-generated.

Dendrites enable stable network dynamics and significant synaptic changes by compartmentalizing plasticity. This research explores how dendritic gating, compared to somatic, balances stability and learning in neural networks.

More Related Videos

Analysis of Dendritic Spine Morphology in Cultured CNS Neurons
11:48

Analysis of Dendritic Spine Morphology in Cultured CNS Neurons

Published on: July 13, 2011

35.2K
Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites
07:45

Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites

Published on: September 27, 2024

2.3K

Related Experiment Videos

Last Updated: Aug 2, 2025

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

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.9K
Analysis of Dendritic Spine Morphology in Cultured CNS Neurons
11:48

Analysis of Dendritic Spine Morphology in Cultured CNS Neurons

Published on: July 13, 2011

35.2K
Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites
07:45

Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites

Published on: September 27, 2024

2.3K

Area of Science:

  • Computational neuroscience
  • Neural network dynamics
  • Synaptic plasticity

Background:

  • Hebbian learning presents stability and memory overwrite issues.
  • Homeostatic plasticity is often too slow to manage unstable network dynamics.
  • Existing solutions like gating and limiting plasticity do not fully resolve the stability-plasticity dilemma.

Purpose of the Study:

  • To investigate how dendritic compartmentalization enables stable neural network dynamics with significant synaptic changes.
  • To explore the role of compartment-specific plasticity gating in resolving the stability-plasticity dilemma.
  • To compare the effects of dendritic versus perisomatic gating on network stability and weight changes.

Main Methods:

  • Simulations of plastic balanced spiking neural networks with detailed dendritic morphology.
  • Analysis of network stability under different plasticity gating mechanisms (excitability modulation, learning rate, inhibition).
  • Comparison of synaptic weight changes achievable with dendritic versus perisomatic gating.

Main Results:

  • Dendritic compartment-specific plasticity allows for substantial synaptic changes while maintaining network stability.
  • The coupling between dendrites and soma is crucial for balancing plasticity and stability.
  • Spatially restricted plasticity, particularly at the dendritic level, enhances overall network stability.

Conclusions:

  • Dendritic compartmentalization is a key biological mechanism for achieving both stability and plasticity in neural networks.
  • Compartment-specific gating of plasticity offers a solution to the stability-plasticity dilemma.
  • Targeting dendritic plasticity may be essential for developing more robust and adaptable artificial neural systems.