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Related Concept Videos

Neuroplasticity01:01

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.
Storage01:23

Storage

A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze each...
Plasticity00:58

Plasticity

Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
Long-term Potentiation01:35

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 Potentiation01:25

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 presynaptic neurons...
Implicit Memories01:24

Implicit Memories

Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...

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Related Experiment Video

Updated: Jul 9, 2026

Whole-cell Patch-clamp Recordings in Brain Slices
07:23

Whole-cell Patch-clamp Recordings in Brain Slices

Published on: June 15, 2016

Ubiquitous plasticity and memory storage.

Sang Jeong Kim1, David J Linden

  • 1Department of Physiology, Seoul National University College of Medicine, 110-799 Seoul, Korea. sangjkim@snu.ac.kr

Neuron
|November 23, 2007
PubMed
Summary

Memory storage involves more than just synaptic plasticity. Recent findings show other neuronal components also exhibit long-term plasticity, improving memory models.

Area of Science:

  • Neuroscience
  • Cellular Electrophysiology
  • Memory Research

Background:

  • Traditional memory storage hypotheses center on long-term potentiation and depression (LTP/LTD) of excitatory postsynaptic currents (EPSCs).
  • This focus overlooks other crucial electrophysiological mechanisms within neurons.

Purpose of the Study:

  • To broaden the scope of memory storage models beyond traditional synaptic plasticity.
  • To investigate the role of diverse electrophysiological components in neuronal plasticity and memory.

Main Methods:

  • Review and synthesis of recent findings on use-dependent long-term plasticity in various neuronal components.
  • Development of computational models incorporating a wider range of plastic electrophysiological elements.

More Related Videos

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus
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Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus

Published on: September 20, 2024

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
11:29

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents

Published on: September 4, 2015

Related Experiment Videos

Last Updated: Jul 9, 2026

Whole-cell Patch-clamp Recordings in Brain Slices
07:23

Whole-cell Patch-clamp Recordings in Brain Slices

Published on: June 15, 2016

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus
05:01

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus

Published on: September 20, 2024

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
11:29

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents

Published on: September 4, 2015

Main Results:

  • Identified multiple neuronal elements, including electrical synapses, glutamate transporters, and ion channels, exhibiting long-term plasticity.
  • Demonstrated that these additional plastic components are crucial for realistic memory storage.

Conclusions:

  • A comprehensive understanding of memory storage requires considering plasticity across diverse neuronal electrophysiological components.
  • Integrated models better explain behavioral measures of memory storage, indexing, and recall.