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Related Concept Videos

Synaptic Signaling01:09

Synaptic Signaling

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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...
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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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Integration of Synaptic Events01:28

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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...
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Long-term Potentiation01:25

Long-term Potentiation

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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
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Long-term Potentiation01:35

Long-term Potentiation

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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.
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Modeling in Therapy01:26

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
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Related Experiment Video

Updated: Apr 18, 2026

3D Modeling of Dendritic Spines with Synaptic Plasticity
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Synaptic consolidation: from synapses to behavioral modeling.

Lorric Ziegler1, Friedemann Zenke1, David B Kastner1

  • 1School of Computer and Communication Sciences and School of Life Sciences, Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne EPFL, Switzerland.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|January 23, 2015
PubMed
Summary
This summary is machine-generated.

We developed a three-layered model for synaptic consolidation, explaining memory formation across various timescales. This model links in vitro depotentiation to in vivo novelty effects on rat memory.

Keywords:
consolidationmodelingsynaptic tagging

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Memory Research

Background:

  • Synaptic plasticity is crucial for memory formation, operating across diverse timescales from seconds to years.
  • Understanding the mechanisms of synaptic consolidation is key to explaining long-term memory retention.

Purpose of the Study:

  • To develop a comprehensive three-layered model of synaptic consolidation.
  • To link molecular mechanisms of plasticity to behavioral memory outcomes.

Main Methods:

  • A computational model simulating synaptic efficacy, scaffolding, and tagging variables.
  • Modeling the interaction between plasticity-inducing stimuli and a write-protection mechanism.
  • Connecting in vitro depotentiation data with in vivo behavioral experiments on memory.

Main Results:

  • The model successfully accounts for synaptic consolidation across a wide range of experimental conditions.
  • It demonstrates how synaptic efficacy, tagging, and scaffolding interact to regulate memory consolidation.
  • The model bridges the gap between cellular-level plasticity and behavioral memory phenomena.

Conclusions:

  • The three-layered model provides a unified framework for understanding synaptic consolidation.
  • It highlights the importance of molecular interactions and protection mechanisms in long-term memory.
  • The model offers insights into how novelty influences memory consolidation in rats.