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商品描述
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
商品描述(中文翻譯)
一本易於理解的計算神經科學本科教科書，介紹神經元及神經元網絡的數學和計算建模。
理解大腦是現代科學的一個主要前沿。由於神經電路的複雜性，推進這一理解需要數學和計算方法。這本易於理解的計算神經科學本科教科書提供了神經元及神經元網絡的數學和計算建模的介紹。從單個神經元的生物物理學開始，Robert Rosenbaum 逐步構建對神經編碼、學習以及生物神經網絡與人工神經網絡之間關係的解釋。使用真實神經數據的例子展示了計算模型如何用於理解在神經記錄中觀察到的現象。基於多年的課堂經驗，這些材料經過精心簡化，以提供在一個學期的課程中建立神經電路建模所需的所有內容。- 在課堂上經過驗證
- 例子豐富，學生友好的方法
- 包括 Python 代碼和數學附錄，回顧微積分、線性代數和概率的必要背景
- 非常適合工程、科學和數學專業以及自學
作者簡介
Robert Rosenbaum is Associate Professor of Applied and Computational Mathematics and Statistics at the University of Notre Dame. His research in computational neuroscience is focused on using computational models of neural circuits to help understand the dynamics and statistics of neural activity underlying sensory processing and learning.
作者簡介(中文翻譯)
羅伯特·羅森鮑姆（Robert Rosenbaum）是聖母大學（University of Notre Dame）應用與計算數學及統計學的副教授。他在計算神經科學方面的研究專注於使用神經電路的計算模型，以幫助理解感官處理和學習背後的神經活動動態及統計特徵。
