ler totalmente Modeling Neural Circuits Made Simple with Python

An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons.

Understanding the brain is a major frontier of modern science. Given the complexity of neural circuits, advancing that understanding requires mathematical and computational approaches. This accessible undergraduate textbook in computational neuroscience provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Starting with the biophysics of single neurons, Robert Rosenbaum incrementally builds to explanations of neural coding, learning, and the relationship between biological and artificial neural networks. Examples with real neural data demonstrate how computational models can be used to understand phenomena observed in neural recordings. Based on years of classroom experience, the material has been carefully streamlined to provide all the content needed to build a foundation for modeling neural circuits in a one-semester course.

• Proven in the classroom
• Example-rich, student-friendly approach
• Includes Python code and a mathematical appendix reviewing the requisite background in calculus, linear algebra, and probability
• Ideal for engineering, science, and mathematics majors and for self-study

Procurando Modeling Neural Circuits Made Simple with Python? Aqui você encontra tudo sobre este livro de Robert Rosenbaum, publicado por MIT Press em 19 de março de 2024. Nesta página estão a descrição da obra, os detalhes da edição (168 páginas) e os formatos disponíveis para baixar: pdf, epub, txt, djvu. Se você gosta de Livros Internacionais, Medicina, Especialidades, Medicina Interna, Neurologia, Neurociência, explore também outros títulos da mesma categoria no Encontrando os melhores livros. Veja ainda as outras obras de Robert Rosenbaum em nosso catálogo.