Related Experiment Video
Updated: Sep 28, 2026

3D Modeling of Dendritic Spines with Synaptic Plasticity
Published on: May 18, 2020
Study of synaptic plasticity via random graphs
1Mathematical Center, Lund University, S-22100 Lund, Sweden. tatyana@maths.lth.se
Abstract:
The dynamical random graphs associated with a certain class of biological neural networks are introduced and studied. We describe the phase diagram revealing the parameters of a single neuron and of the synaptic strengths which allow formation of the stable strongly connected large groups of neurons. It is shown that the cycles are the most stable structures when the Hebb rule is implemented into the dynamics of the network of excitatory neurons. We discuss the role of cycles for the synchronization of the neuronal activity.
Related Concept Videos
Neuroplasticity
Long-term Potentiation
Hebbian LTP
LTP can occur when presynaptic neurons...
Long-term Potentiation

