Theoretical neuroscience provides a quantitative basis for
describing what nervous systems do, determining how they function,
and uncovering the general principles by which they operate. This
text introduces the basic mathematical and computational methods of
theoretical neuroscience and presents applications in a variety of
areas including vision, sensory-motor integration, development,
learning, and memory.
The book is divided into three parts. Part I discusses the
relationship between sensory stimuli and neural responses, focusing
on the representation of information by the spiking activity of
neurons. Part II discusses the modeling of neurons and neural
circuits on the basis of cellular and synaptic biophysics. Part III
analyzes the role of plasticity in development and learning. An
appendix covers the mathematical methods used, and exercises are
available on the book's Web site.
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