Table of Contents: March 2012

This image illustrates a B4 neuron from the mollusk Lymnaea stagnalis on a background of mathematical expressions, simulation data, and binary digits, which represent the implicit assumption that nervous systems can be modeled and simulated in a digital computer. In this issue, Vavoulis et al. (10.1371/journal.pcbi.1002401) present a method for estimating dynamic states and parameters in data-driven models of neurons and neural networks based on principles of Bayesian statistics and Sequential Monte Carlo simulation.

Image Credit: Dimitrios V. Vavoulis and Volko A. Straub, the Universities of Warwick and Leicester, United Kingdom, 2012.


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