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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.
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Long-term Potentiation01:35

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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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Introduction to Learning01:18

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Updated: Nov 28, 2025

Decoding Natural Behavior from Neuroethological Embedding
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Engrams of Fast Learning.

Charlotte Piette1,2, Jonathan Touboul2, Laurent Venance1

  • 1Center for Interdisciplinary Research in Biology, College de France, INSERM U1050, CNRS UMR7241, Université PSL, Paris, France.

Frontiers in Cellular Neuroscience
|November 30, 2020
PubMed
Summary
This summary is machine-generated.

Fast learning creates long-term memories from single experiences, unlike slow, repetitive training. This review explores the brain mechanisms and neuronal changes driving rapid memory formation in animals and humans.

Keywords:
artificial intelligencefast learningmemory engramneurocomputational modelsneuromodulationone-shot learning (OSL)synaptic plasticity (LTP/LTD)

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Memory Research

Background:

  • Fast learning enables long-term memory from brief experiences, contrasting with slower, repetitive learning methods.
  • This process is crucial for various animal behaviors and human episodic memory.

Purpose of the Study:

  • To review the behavioral paradigms, neuronal activity patterns, and physiological correlates of fast learning in mammals.
  • To explore the underlying synaptic and genetic mechanisms driving rapid memory consolidation.
  • To discuss theoretical perspectives on network dynamics enabling fast learning.

Main Methods:

  • Analysis of behavioral paradigms involving single, brief exposures to salient stimuli.
  • Examination of neuronal activity patterns and long-term selective responses during fast learning.
  • Review of evidence for long-term changes in gene expression, structural, intrinsic, and synaptic plasticity.

Main Results:

  • Fast learning is associated with specific neuronal activity patterns, including sparse and bursting activity.
  • Long-term memory traces involve significant changes in gene expression and synaptic plasticity.
  • Evidence points to rapid establishment of long-term synaptic modifications.

Conclusions:

  • Fast learning relies on rapid synaptic plasticity and gene expression changes, potentially facilitated by specific neuronal firing patterns.
  • Theoretical models from cognitive neuroscience and AI offer insights into network dynamics supporting fast learning.