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This open access volume compiles student reports from the 2022 Simula Summer School in Computational Physiology. The reports provide an overview of some tools available to model physiology in excitable tissues across scales and scientific questions. In 2022, Simula held the eighth annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD). Each year, the course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. Group research projects conducted by graduate students from around the world result in reports addressing problems of physiological importance. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier studies. Reports from seven of the summer projects are included as separate chapters. The topics represented include multiscale mechanics, electrophysiology, pharmacology, and machine learning. .

Mathematics—Data processing. --- Computational Science and Engineering.

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Programming --- Mathematics --- Mathematica (computer programming language) --- Mathematics-data processing

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Programming --- BASIC (Computer program language) --- Mathematics --- Data processing --- Mathematics - Data processing

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Programming --- Mathematics --- Data processing. --- Data processing --- Mathematics - Data processing --- Mathematica (software package) --- Micro-informatique --- Mathematica --- Manuel

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This book presents and discusses the fundamental topic of classification of musical objects, such as chords, motifs, and gestures. Their classification deals with the exhibition of isomorphism classes. Our structure types include local and global constructions, the latter being similar to global structures in geometry, such as differentiable manifolds. The discussion extends to the role, which classification plays for the creative construction of musical compositions. Our examples include references to classical compositions, such as Beethoven’s sonatas, and some of the author’s own compositions of classical and jazz styles. We also discuss software that enables the application of classification to musical creativity. The volume is addressed to an audience that would apply classification to programming and creative musical construction.

Mathematics—Data processing. --- Mathematics. --- Music. --- Computational Mathematics and Numerical Analysis. --- Applications of Mathematics. --- Music