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Neuroplasticity

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.

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...

Integration of Synaptic Events

Integration of Synaptic Events

Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...

Synaptic Signaling

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...

Synaptic Signaling

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.

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Related Experiment Video

Updated: Dec 28, 2025

3D Modeling of Dendritic Spines with Synaptic Plasticity

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Synaptic Plasticity Forms and Functions.

Jeffrey C Magee¹, Christine Grienberger¹

¹Department of Neuroscience and Howard Hughes Medical Institute, Baylor College of Medicine, Houston, Texas 77030, USA;

Annual Review of Neuroscience

|February 21, 2020

Summary

This summary is machine-generated.

This review explores synaptic plasticity, crucial for learning and memory. It highlights limitations of standard Hebbian plasticity and discusses more advanced forms, suggesting their potential for understanding adaptive behavior.

Keywords:

dendrites eligibility traces learning memory neuromodulation synapses

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Last Updated: Dec 28, 2025

3D Modeling of Dendritic Spines with Synaptic Plasticity

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

Published on: April 23, 2019

Presynaptically Silent Synapses Studied with Light Microscopy

Presynaptically Silent Synapses Studied with Light Microscopy

Published on: January 4, 2010

Area of Science:

Neuroscience
Computational Neuroscience
Cognitive Science

Background:

Synaptic plasticity, the change in neuronal connection strength, is fundamental to learning and memory.
Computational models demonstrate the efficacy of adjusting connection weights for learning.

Purpose of the Study:

To review and categorize forms of synaptic plasticity.
To discuss the capabilities and limitations of different plasticity rules.
To propose future research directions for understanding adaptive behavior.

Main Methods:

Review of existing literature on synaptic plasticity.
Categorization of plasticity forms based on their mechanisms.
Discussion of theoretical and experimental findings.

Main Results:

Identified four broad categories of synaptic plasticity.
Highlighted limitations of standard Hebbian plasticity.
Described advanced forms: three-factor rules, supervised plasticity, and a novel hippocampal form.

Conclusions:

Hebbian plasticity alone is insufficient for complex learning.
Advanced plasticity rules offer greater functional capabilities.
Further investigation into directed plasticity is crucial for understanding adaptive behavior.