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Stochasticity in Ca(2+) Increase in Spines Enables Robust and Sensitive Information Coding

A dendritic spine is a very small structure (∼0.1 µm(3)) 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(2+) increase...

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Detalles Bibliográficos
Autores principales: Koumura, Takuya, Urakubo, Hidetoshi, Ohashi, Kaoru, Fujii, Masashi, Kuroda, Shinya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4059641/
https://www.ncbi.nlm.nih.gov/pubmed/24932482
http://dx.doi.org/10.1371/journal.pone.0099040
Descripción
Sumario:A dendritic spine is a very small structure (∼0.1 µm(3)) 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(2+) increases, which makes robust and sensitive information coding possible. We created a stochastic simulation model of input timing-dependent Ca(2+) increases in a cerebellar Purkinje cell's spine. Spines used probability coding of Ca(2+) 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(2+) increases in a spine volume was more robust against input fluctuation and more sensitive to input numbers than amplitude coding of Ca(2+) increases in a cell volume. Thus, stochasticity is a strategy by which neurons robustly and sensitively code information.