Taking a step-by-step approach to modelling neurons and neural
circuitry, this textbook teaches students how to use computational
techniques to understand the nervous system at all levels, using
case studies throughout to illustrate fundamental principles.
Starting with a simple model of a neuron, the authors gradually
introduce neuronal morphology, synapses, ion channels and
intracellular signalling. This fully updated new edition contains
additional examples and case studies on specific modelling
techniques, suggestions on different ways to use this book, and new
chapters covering plasticity, modelling extracellular influences on
brain circuits, modelling experimental measurement processes, and
choosing appropriate model structures and their parameters. The
online resources offer exercises and simulation code that recreate
many of the book's figures, allowing students to practice as they
learn. Requiring an elementary background in neuroscience and
high-school mathematics, this is an ideal resource for a course on
computational neuroscience.
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