Topic: spine sizes

Recent studies have shown that synaptic spines undergo spontaneous size fluctuations, a phenomenon hypothesized to be critical for understanding synaptic plasticity and neural network stability. In this work, we develop a model for spine size dynamics using a simple stochastic process based on minimal biological assumptions. The model effectively captures the key characteristics of spontaneous spine fluctuations, particularly replicating the observed lognormal distribution of spine sizes. We then train an artificial neural network in which synaptic strengths fluctuate according to our model. T