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Related Concept Videos

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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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
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Forced Transdifferentiation01:28

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Transdifferentiation, also known as lineage reprogramming, was first discovered by Selman and Kafatos in 1974 in silkmoths. They observed that the moths’ cuticle-producing cells transformed into salt-producing cells. Many such cases of natural transdifferentiation occur in organisms. In humans, pancreatic alpha cells can become beta cells. In newts, the loss of the eye’s lens causes the pigmented epithelial cells to transdifferentiate into the lens cells.
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Chromatin Modification in iPS Cells01:32

Chromatin Modification in iPS Cells

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Chromatin modification alters gene expression; therefore, scientists can add histone-modifying enzymes, histone variants, and chromatin remodeling complexes to somatic cells to aid reprogramming into pluripotent stem (iPS) cells.
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Somatic to iPS Cell Reprogramming01:29

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Reprogramming alters the gene expression in somatic cells, transforming them into induced pluripotent stem (iPS) cells over several generations. Scientists can reprogram cells by introducing genes for four transcription factors—Oct4, Sox2, Klf4, and c-Myc (OSKM) by viral or non-viral methods. These factors are also known as Yamanaka factors after Shinya Yamanaka, who first generated iPS cells using mouse skin cells. Yamanaka was awarded the Nobel Prize in Physiology or Medicine in 2012...
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Related Experiment Video

Updated: Mar 10, 2026

Inducing Plasticity of Astrocytic Receptors by Manipulation of Neuronal Firing Rates
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Plasticity to the Rescue.

Tatyana O Sharpee1

  • 1Computational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.

Neuron
|December 9, 2016
PubMed
Summary
This summary is machine-generated.

Achieving neural circuit balance is hard without synaptic plasticity or spike-frequency adaptation. These mechanisms help fine-tune connection strengths for proper brain function.

Keywords:
E/I balancechaotic behaviorcorrelationshomeostatic plasticityrecurrent networks

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Neural Circuit Dynamics

Background:

  • Neural circuits require a precise balance between excitatory and inhibitory inputs for proper function.
  • Maintaining this balance is complex, especially with cell-type-specific connectivity patterns.

Purpose of the Study:

  • To investigate the mechanisms enabling the balance of excitatory and inhibitory inputs in neural circuits with cell-type-specific connectivity.
  • To determine the necessity of synaptic plasticity and spike-frequency adaptation for achieving this balance.

Main Methods:

  • Computational modeling of neural networks with defined connectivity.
  • Analysis of network dynamics under varying conditions of synaptic plasticity and adaptation.

Main Results:

  • Cell-type-specific connectivity poses a significant challenge to achieving excitatory-inhibitory balance.
  • Synaptic plasticity and spike-frequency adaptation were found to be crucial for fine-tuning connection strengths and restoring balance.
  • Without these mechanisms, neural circuits struggle to maintain stable and balanced activity.

Conclusions:

  • Synaptic plasticity and spike-frequency adaptation are essential for robust neural circuit function in the presence of complex connectivity.
  • These homeostatic mechanisms play a critical role in ensuring the stability and proper operation of neuronal networks.