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Related Concept Videos

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.
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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.
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Neuroplasticity01:01

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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.
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Related Experiment Video

Updated: Aug 6, 2025

Ex Vivo Optogenetic Interrogation of Long-Range Synaptic Transmission and Plasticity from Medial Prefrontal Cortex to Lateral Entorhinal Cortex
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Spike timing-dependent plasticity and memory.

Dominique Debanne1, Yanis Inglebert2

  • 1UNIS, UMR-1072, INSERM, Aix-Marseille Université, Marseille, France.

Current Opinion in Neurobiology
|March 16, 2023
PubMed
Summary
This summary is machine-generated.

Spike-timing-dependent plasticity (STDP) uses precise neural firing times to shape synapses, aiding memory formation. This review explores STDP rules, in vivo memory roles, and artificial intelligence applications.

Keywords:
Alzheimer diseaseDevelopmentHippocampusLearningMemristive devicesModelsNeocortexSTDPStress disordersSynaptic plasticity

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Artificial Intelligence

Background:

  • Spike-timing-dependent plasticity (STDP) is a fundamental mechanism of synaptic plasticity.
  • STDP relies on millisecond-precise timing between pre- and post-synaptic neuronal activity.
  • A key challenge is reconciling STDP's rapid timescale with slower behavioral learning.

Purpose of the Study:

  • To review diverse STDP learning rules at excitatory and inhibitory synapses in vitro.
  • To examine the role of STDP-like plasticity in memory formation in vivo.
  • To discuss the implementation of STDP in artificial neural networks and memristive devices.

Main Methods:

  • Literature review of in vitro and in vivo studies on STDP.
  • Analysis of computational models and experimental data on synaptic plasticity.
  • Exploration of bio-inspired computing paradigms.

Main Results:

  • Multiple STDP variants exist, operating at both excitatory and inhibitory synapses.
  • STDP-like plasticity contributes significantly to memory formation in living organisms.
  • STDP principles are being integrated into advanced artificial neural networks and novel computing hardware.

Conclusions:

  • STDP is a versatile synaptic plasticity mechanism with implications beyond millisecond timing.
  • Understanding STDP is crucial for both neuroscience and the development of intelligent systems.
  • Future research directions include bridging the gap between STDP and complex cognitive functions.