A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circ

A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neu

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature

This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it int