Theoretical neuroscience provides a quantitative basis for describing what nervoussystems do, determining how they function, and uncovering the general principles by which theyoperate. This text introduces the basic mathematical and computational methods of theoreticalneuroscience and presents applications in a variety of areas including vision, sensory-motorintegration, development, learning, and memory. The book is divided into threeparts. Part I discusses the relationship between sensory stimuli and neural responses, focusing onthe representation of information by the spiking activity of neurons. Part II discusses the modelingof neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzesthe role of plasticity in development and learning. An appendix covers the mathematical methodsused, and exercises are available on the book's Web site.
Description:
Theoretical neuroscience provides a quantitative basis for describing what nervoussystems do, determining how they function, and uncovering the general principles by which theyoperate. This text introduces the basic mathematical and computational methods of theoreticalneuroscience and presents applications in a variety of areas including vision, sensory-motorintegration, development, learning, and memory. The book is divided into threeparts. Part I discusses the relationship between sensory stimuli and neural responses, focusing onthe representation of information by the spiking activity of neurons. Part II discusses the modelingof neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzesthe role of plasticity in development and learning. An appendix covers the mathematical methodsused, and exercises are available on the book's Web site.