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Related Concept Videos

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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Long-term Potentiation01:25

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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
LTP can occur when...
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Neuroplasticity01:01

Neuroplasticity

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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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Integration of Synaptic Events01:28

Integration of Synaptic Events

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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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Plasticity00:58

Plasticity

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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...
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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.
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Updated: Apr 13, 2026

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
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Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

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From synaptic plasticity to spatial maps and sequence learning.

Mayank R Mehta1,2,3

  • 1Department of Physics & Astronomy, UCLA, Keck Center for Neurophysics, UCLA.

Hippocampus
|May 2, 2015
PubMed
Summary
This summary is machine-generated.

The entorhinal-hippocampal circuit

Keywords:
NMDARSTDPgrid cellsplace cellssynaptic plasticity

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • The entorhinal-hippocampal circuit is vital for learning, memory, and spatial navigation.
  • Understanding the mechanisms of sequence learning and spatial memory is a significant challenge.
  • Place cells and grid cells are key discoveries in understanding spatial selectivity.

Purpose of the Study:

  • To investigate the plasticity of spatial maps within the entorhinal-hippocampal circuit.
  • To explore the role of Hebbian plasticity in spatial map changes.
  • To elucidate how spatial map plasticity contributes to sequence learning.

Main Methods:

  • Integration of computational modeling and experimental studies.
  • Investigation of NMDAR-mediated plasticity and theta rhythm.
  • Utilizing advances in transgenic techniques.

Main Results:

  • NMDAR-mediated plasticity and theta rhythm influence spatial map formation and modification.
  • These mechanisms facilitate predictive coding in spatial memory.
  • Transgenic techniques provide further evidence for these neuroplasticity mechanisms.

Conclusions:

  • Spatial maps are indeed plastic, with Hebbian plasticity playing a role.
  • NMDAR-mediated plasticity and theta rhythm are critical for adaptive spatial representations.
  • These findings advance our understanding of the hippocampal system's role in spatial memory.