Han Lu: Gaussian law structural plasticity predicts deprivation-induced network remodeling
| When |
Jan 25, 2022
from 05:15 PM to 05:45 PM |
|---|---|
| Where | Talk via Zoom. Log In will be sent together with the email invitation. |
| Contact Name | Fiona Siegfried |
| Contact Phone | 0761 203 9549 |
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Zoom Lecture !
Abstract
Homeostatic plasticity has been demonstrated in many activity perturbation experiments. It is fundamental to maintain network activity within a functional range. Specifically, structural synaptic plasticity – including changes in spine sizes, densities, and synapse numbers – shows inconsistent results upon activity perturbation. Increased network activity induces homeostatic down-scaling of excitatory neurotransmission and spine density reduction. Conversely, a decrease in network activity increases excitatory synaptic weights, while either reducing, increasing, or not changing spine densities. Thus, spine density is not consistently regulated in a homeostatic manner as seen for the synaptic weights.
To reconcile the rich scenarios of activity-dependent structural plasticity, we extended the homeostatic structural plasticity model with a Gaussian law. Simulations showed that this model maintains the previously reported homeostatic regulatory behavior upon stimulation whereas formation or loss of dendritic spines is observed depending on the extent of deprivation. When dendritic spines are lost due to silencing or denervation, homeostatic synaptic up-scaling could rescue firing activity while pushing the structural dynamics into regeneration. Following the same principle, weak external stimulation achieved similar structural regeneration effects after deprivation.
About the speaker and her research
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