Neurons, or nerve cells, are basic timers in our bodies; they also play
a central role in storing and processing information in our brains. This
book introduces neuron physiology and some mathematical methods that can
help us to understand how neurons work. The author's aim is to uncover
frequency-response properties of neurons and to show that neural
networks can support stable patterns of synchronized firing. He does
this using a novel electrical circuit model of a neuron, called VCON,
which shares many features with the Hodgkin-Huxley model, though it is
much simpler to study. This makes the book suitable for advanced
undergraduate or new graduate students studying mathematical biology.
Indeed the book grew from such a course taught at the University of
Utah. The only prerequisites are basic calculus, differential equations
and matrix algebra. Problems (some with solutions) are provided at the
end of each chapter; they range from simple illustrative exercises to
more challenging extensions of the text. Some projects, often involving
microcomputers, are also suggested.