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Long-term Potentiation

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 Potentiation

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...

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Related Experiment Video

Updated: Mar 27, 2026

Assessment of Long-term Depression Induction in Adult Cerebellar Slices

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Published on: October 16, 2019

A Model of In vitro Plasticity at the Parallel Fiber-Molecular Layer Interneuron Synapses.

William Lennon¹, Tadashi Yamazaki², Robert Hecht-Nielsen¹

¹Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.

Frontiers in Computational Neuroscience

|January 7, 2016

Summary

This study models learning at parallel fiber-molecular layer interneuron synapses in the cerebellum. The model reproduces experimental results and predicts novel outcomes, highlighting the importance of these interneurons in cerebellar learning.

Keywords:

cerebellum gated steepest descent molecular layer interneurons parallel fibers plasticity

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Related Experiment Videos

Last Updated: Mar 27, 2026

Assessment of Long-term Depression Induction in Adult Cerebellar Slices

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Published on: October 16, 2019

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Published on: May 18, 2020

Assessment of Ultrastructural Neuroplasticity Parameters After In Utero Transduction of the Developing Mouse Brain and Spinal Cord

Assessment of Ultrastructural Neuroplasticity Parameters After In Utero Transduction of the Developing Mouse Brain and Spinal Cord

Published on: February 26, 2019

Area of Science:

Neuroscience
Computational Neuroscience
Cerebellar Function

Background:

Cerebellar models often overlook molecular layer interneurons (MLIs).
Recent findings suggest MLIs play a crucial role in cerebellar learning.
Existing models do not fully capture the contribution of MLIs.

Purpose of the Study:

To investigate synaptic plasticity at parallel fiber (PF)-MLI synapses.
To propose a mathematical model for PF-MLI synaptic plasticity.
To explore the role of MLIs in cerebellar learning through computational modeling.

Main Methods:

Developed a mathematical model for PF-MLI synaptic plasticity.
Utilized a spiking neuron model for MLIs in computer simulations.
Validated the model against existing in vitro experimental results.

Main Results:

The model successfully reproduced six in vitro experimental findings.
Simulated four novel experimental protocols, generating new predictions.
Demonstrated the model's ability to predict outcomes of unsimulated experimental protocols.

Conclusions:

Synaptic plasticity at PF-MLI synapses is critical for cerebellar function.
The proposed model offers a framework for understanding MLI contributions to learning.
Hypothesized potential biological mechanisms underlying the modeled synaptic plasticity.