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This book will give instructors of probability courses handy material and references for applications to stochastic neuron modeling. Methods and results are presented, but the emphasis is on questions where additional stochastic analysis may contribute insights into neuroscience questions. Some history of this topic is included, as well as current research challenges and an extensive (but not exhaustive) bibliography.