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.