Stochasticity in Ca2+ increase in spines enables robust and sensitive information coding

PLoS One. 2014 Jun 16;9(6):e99040. doi: 10.1371/journal.pone.0099040. eCollection 2014.

Abstract

A dendritic spine is a very small structure (∼0.1 µm3) 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 Ca2+ increases, which makes robust and sensitive information coding possible. We created a stochastic simulation model of input timing-dependent Ca2+ increases in a cerebellar Purkinje cell's spine. Spines used probability coding of Ca2+ 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 Ca2+ increases in a spine volume was more robust against input fluctuation and more sensitive to input numbers than amplitude coding of Ca2+ increases in a cell volume. Thus, stochasticity is a strategy by which neurons robustly and sensitively code information.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Calcium / metabolism*
  • Dendritic Spines / physiology*
  • Electrical Synapses / physiology
  • Male
  • Mice
  • Models, Neurological
  • Neurons
  • Purkinje Cells / physiology*
  • Stochastic Processes

Substances

  • Calcium

Grants and funding

This work was supported by the National Project “Next Generation Integrated Living Matter Simulation” and “Bioinformatics for Brain Sciences” of the Ministry of Education, Culture, Sports, Science, and Technology of Japan (www.jsps.go.jp), the Creation of Fundamental Technologies for Understanding and Control of Biosystem Dynamics, CREST, from the Japan Science and Technology (www.jst.go.jp), and by a Human Frontier Science Project (www.hfsp.org) grant (RGP0061/2011). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.