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Updated: Mar 3, 2026

3D Modeling of Dendritic Spines with Synaptic Plasticity
Published on: May 18, 2020
Synaptic plasticity in dendrites: complications and coping strategies
Bartlett W Mel1, Jackie Schiller2, Panayiota Poirazi3
1Biomedical Engineering Department and Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089, United States.
Abstract:
The elaborate morphology, nonlinear membrane mechanisms and spatiotemporally varying synaptic activation patterns of dendrites complicate the expression, compartmentalization and modulation of synaptic plasticity. To grapple with this complexity, we start with the observation that neurons in different brain areas face markedly different learning problems, and dendrites of different neuron types contribute to the cell's input-output function in markedly different ways. By committing to specific assumptions regarding a neuron's learning problem and its input-output function, specific inferences can be drawn regarding the synaptic plasticity mechanisms and outcomes that we 'ought' to expect for that neuron. Exploiting this assumption-driven approach can help both in interpreting existing experimental data and designing future experiments aimed at understanding the brain's myriad learning processes.
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