Jannik Luboeinski

The paper develops a computational model linking synaptic actin dynamics and postsynaptic density size to the synaptic tag hypothesis, explaining experimental findings and predicting nonlinear plasticity accumulation.

The paper uses a neural network model with synaptic tagging and capture to study how memory representations are organized and primed over time, showing that learning order and hub structures influence memory consolidation and spontaneous activation.

This paper develops a theoretical model of synaptic tagging and capture in recurrent neural networks, showing that it enhances memory recall over time.