This book describes a large number of open problems in the theory of stochastic neural systems
with the aim of enticing probabilists to work on them. This includes problems arising from
stochastic models of individual neurons as well as those arising from stochastic models of the
activities of small and large networks of interconnected neurons. The necessary neuroscience
background to these problems is outlined within the text so readers can grasp the context in
which they arise. This book will be useful for graduate students and instructors providing
material and references for applying probability to stochastic neuron modeling. Methods and
results are presented but the emphasis is on questions where additional stochastic analysis
may contribute neuroscience insight. An extensive bibliography is included. Dr. Priscilla E.
Greenwood is a Professor Emerita in the Department of Mathematics at the University of British
Columbia. Dr. Lawrence M. Ward is a Professor in the Department of Psychology and the Brain
Research Centre at the University of British Columbia.
