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3D Modeling of Dendritic Spines with Synaptic Plasticity
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Competition for synaptic building blocks shapes synaptic plasticity.

Jochen Triesch1,2, Anh Duong Vo1,2, Anne-Sophie Hafner3

  • 1Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.

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|September 18, 2018
PubMed
Summary
This summary is machine-generated.

Synaptic efficacy changes, crucial for learning and memory, are driven by dynamic neurotransmitter receptor movement. A new model shows synapses compete for these receptors, influencing synaptic plasticity.

Keywords:
computational modelheterosynaptic plasticityhomosynaptic plasticityneuroscienceneurotransmitter receptornone

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Molecular Biology

Background:

  • Synaptic efficacy changes are the neurobiological basis for learning and memory.
  • Neurotransmitter receptors at synapses are highly dynamic, moving on short timescales.
  • This dynamic suggests spontaneous fluctuations in synaptic efficacy and competition for receptors.

Purpose of the Study:

  • To propose a mathematical model of synaptic competition for neurotransmitter receptors.
  • To investigate the implications of receptor dynamics on synaptic plasticity.

Main Methods:

  • Developed a mathematical model of receptor competition within a local dendritic pool.
  • Analyzed the model's predictions regarding synaptic scaling and heterosynaptic plasticity.

Main Results:

  • The model demonstrates fast multiplicative scaling of synaptic efficacy.
  • It explains transient heterosynaptic plasticity.
  • Predicts plasticity amount is inversely related to local receptor pool size.

Conclusions:

  • Rapid neurotransmitter receptor exchange between synapses creates logistical tradeoffs during plasticity induction.
  • The model provides insights into the dynamic regulation of synaptic strength.