Abstract
A dendritic spine is a very small structure (~0.1 μm) of a neuron that processes input timing information. Why are spines so small? Here, we provide functional reasons; the size of spines is optimal for information coding. Spines code input timing information by the probability of Ca increases, which makes robust and sensitive information coding possible. We created a stochastic simulation model of input timing-dependent Ca increases in a cerebellar Purkinje cell's spine. Spines used probability coding of Ca increases rather than amplitude coding for input timing detection via stochastic facilitation by utilizing the small number of molecules in a spine volume, where information per volume appeared optimal. Probability coding of Ca increases in a spine volume was more robust against input fluctuation and more sensitive to input numbers than amplitude coding of Ca increases in a cell volume. Thus, stochasticity is a strategy by which neurons robustly and sensitively code information.
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