• Preface



• Nomenclature



• 1: Benjamin Lindner: A brief introduction to some basic stochastic processes



• 2: Jeffrey R Groff, Hilary DeRemigio, and Gregory D Smith: Markov chain models of ion channels and calcium release sites



• 3: Nils Berglund and Barbara Gentz: Stochastic dynamic bifurcations and excitability



• 4: André Longtin: Neural coherence and stochastic resonance



• 5: Bard Ermentrout: Noisy oscillators



• 6: Brent Doiron: The role of variablity in populations of spiking neuons



• 7: Daniel Tranchina: Population density methods in large-scale neural network modelling



• 8: Marco A Huertas and Gregory D Smith: A population density model of the driven LGN/PGN



• 9: Alin Destexhe and Michelle Rudolph-Lilith: Syanptic "noise": experiments, computatioal consequences and methods to analyze experimental data



• 10: Liam Paninski, Emery N Brown, Satish Iyengar, and Robert E Kass: Statistical models of spike trains



• 11: A Aldo Faisal: Stochastic simulations of neurons, axons, and action potentials



• 12: Hasan Alzubaidi, Hagen Gilsing, Tony Shardlow: Numerical simulations of SDEs and SPDEs from neural systems using SDELAB