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

Feedback Regulation of Calcium Concentration01:27

Feedback Regulation of Calcium Concentration

3.8K
Calcium is an essential signaling molecule required for various cellular functions. Calcium pumps and ion channels on cell and organellar membranes, such as those on the endoplasmic reticulum (ER), regulate calcium concentrations inside the cell. They remain closed, keeping the cytosolic calcium levels low at a resting state.
Various transmembrane receptors, such as G protein-coupled receptors (GPCRs), elicit a response to extracellular signals by increasing cytosolic calcium. Activated GPCRs...
3.8K
Long-term Potentiation01:35

Long-term Potentiation

58.0K
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.
58.0K
Long-term Potentiation01:25

Long-term Potentiation

3.3K
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...
3.3K
Long-term Depression01:03

Long-term Depression

3.0K
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...
3.0K
Long-term Depression01:05

Long-term Depression

32.9K
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.
32.9K
Plasticity00:58

Plasticity

2.7K
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...
2.7K

You might also read

Related Articles

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

Sort by
Same author

Reservoir computing in simulated neuronal cultures: Effect of network structure.

Chaos (Woodbury, N.Y.)·2026
Same author

Role of connectivity anisotropies in the dynamics of cultured neuronal networks.

PLoS computational biology·2025
Same author

Inferring structure of cortical neuronal networks from activity data: A statistical physics approach.

PNAS nexus·2025
Same author

Integrated information decomposition unveils major structural traits of in silico and in vitro neuronal networks.

Chaos (Woodbury, N.Y.)·2024
Same author

Dynamic decorrelation as a unifying principle for explaining a broad range of brightness phenomena.

PLoS computational biology·2021

Related Experiment Video

Updated: Dec 30, 2025

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

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.3K

A calcium-influx-dependent plasticity model exhibiting multiple STDP curves.

Akke Mats Houben1, Matthias S Keil2

  • 1Institute of Neurosciences and Faculty for Psychology, University of Barcelona, Passeig de la Vall d'Hebron 171, 08035, Barcelona, Spain. akkehouben@gmail.com.

Journal of Computational Neuroscience
|January 26, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a computational model for calcium (Ca2+)-dependent synaptic plasticity, explaining how neural firing patterns influence connection strength. The model accurately reproduces spike-timing-dependent plasticity (STDP) curves observed in different neuron types.

Keywords:
Calcium-dependent-plasticitySTDPSynaptic plasticity

More Related Videos

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

16.2K
Assessment of Long-term Depression Induction in Adult Cerebellar Slices
09:30

Assessment of Long-term Depression Induction in Adult Cerebellar Slices

Published on: October 16, 2019

7.3K

Related Experiment Videos

Last Updated: Dec 30, 2025

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

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.3K
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

16.2K
Assessment of Long-term Depression Induction in Adult Cerebellar Slices
09:30

Assessment of Long-term Depression Induction in Adult Cerebellar Slices

Published on: October 16, 2019

7.3K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Synaptic Plasticity

Background:

  • Hebbian plasticity posits that correlated neural firing strengthens connections, while uncorrelated firing weakens them.
  • Spike-timing-dependent plasticity (STDP) refines this by linking synaptic changes to the precise timing of pre- and post-synaptic spikes.
  • Synaptic strengthening (LTP) and weakening (LTD) are mediated by postsynaptic calcium (Ca2+) influx, primarily through NMDA receptors.

Purpose of the Study:

  • To present a computational mechanism for Ca2+-dependent synaptic plasticity.
  • To model how the interplay between presynaptic neurotransmitter release and postsynaptic membrane potential shapes Ca2+ dynamics.
  • To demonstrate how these Ca2+ dynamics lead to changes in synaptic strength.

Main Methods:

  • Developed a computational model simulating Ca2+ influx based on presynaptic activity and postsynaptic depolarization.
  • Analyzed the model's output against established STDP protocols and triplet-spike data.
  • Investigated the model's ability to generate diverse STDP curve shapes.

Main Results:

  • The computational mechanism successfully replicates classic STDP findings.
  • The model accurately predicts results from triplet-spike timing experiments.
  • The model demonstrates the capacity to produce various STDP curve shapes, consistent with experimental observations across different neuronal systems.

Conclusions:

  • The proposed computational model provides a unified framework for understanding Ca2+-dependent synaptic plasticity.
  • The model highlights the critical role of the interaction between presynaptic and postsynaptic activity in determining synaptic modifications.
  • This mechanism offers a potential explanation for the diversity of STDP curves observed in biological synapses.