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.