What happens in our brain when we make a decision? What triggers a
neuron to send out a signal? What is the neural code? This textbook
for advanced undergraduate and beginning graduate students provides
a thorough and up-to-date introduction to the fields of
computational and theoretical neuroscience. It covers classical
topics, including the Hodgkin-Huxley equations and Hopfield model,
as well as modern developments in the field such as Generalized
Linear Models and decision theory. Concepts are introduced using
clear step-by-step explanations suitable for readers with only a
basic knowledge of differential equations and probabilities, and
are richly illustrated by figures and worked-out examples.
End-of-chapter summaries and classroom-tested exercises make the
book ideal for courses or for self-study. The authors also give
pointers to the literature and an extensive bibliography, which
will prove invaluable to readers interested in further study.
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