We are very pleased to announce our new book: Principles of Computational Modelling in Neuroscience 2nd edition, Cambridge University Press, October 2023 Hardback, paperback and ebook. URL: www.cambridge.org/highereducation/isbn/9781108716420 David Sterratt, University of Edinburgh U.K. Bruce Graham, University of Stirling U.K. Andrew Gillies, Psymetrix Limited Gaute Einevoll, Norwegian University of Life Sciences (NMBU) David Willshaw, University of Edinburgh U.K. Taking a step-by-step approach to modelling neurons and neuralcircuitry, 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. Key features: Presents all models within the context of biological scenarios to connect computational models with real neurobiology. Highlights and explains mathematical details in boxes alongside the main text, so readers can follow the discussion easily and clearly. Shows how to choose an appropriate model structure and to set its parameter values. Demonstrates how to translate a mathematical formulation of a model into a simulation. Prof. Bruce Graham, Emeritus Professor of Computing Science Division of Computing Science and Mathematics, Faculty of Natural Sciences University of Stirling, Stirling FK9 4LA Coauthor of "Principles of Computational Modelling in Neuroscience", CUP, 2nd Edition 2023<https://www.cambridge.org/highereducation/books/principles-of-computational-modelling-in-neuroscience/17D6BDB0AF15FAD5B9341132B6A706BF#overview>.