计算神经科学 学习资源 学科精华

教科书

神经科学基础：

• 神经科学原理 https://book.douban.com/subject/25723403/
• 认知神经科学 https://book.douban.com/subject/5937126/
• From Neuron to Brain https://book.douban.com/subject/10805243/

认知语言科学：

发育神经科学：

AI，机器学习：

• Artificial Intelligence A Modern Approach by Russell, Stuart, Norvig, Peter 大而全的算法参考书

http://aima.cs.berkeley.edu/cover.jpg

原书网站 http://aima.cs.berkeley.edu/

• Deep learning - artificial intelligence 2016 Goodfellow mit press 花书，专注深度学习
• Pattern.Recognition.and.Machine.Learning,.Christopher.M..Bishop,.Springer,.2006
• Reinforcement Learning An introduction (Second Edition) by Richard S. Sutton and Andrew G. Barto 强化学习
• The Elements of Statistical Learning Data Mining, Inference, and Prediction (2nd edition) (12print 2017) by Trevor Hastie, Robert Tibshirani, Jerome Friedman 免费统计学习经典教材

欧美著名教材作者：

• Peter D. Lax
  • 泛函分析

专业参考书

• 视觉类

Animal Eyes 动物之眼

• 听觉类

Human and Machine Hearing: Extracting Meaning from Sound

• 神经生物学

Ion Channels of Excitable Membranes

科普参考书

必读Paper

算法，数学类:

• 2019 Solving matrix equations in one step with cross-point resistive arrays 高效求解线性系统

Vision:

• Efficient coding in early sensory coding

推荐的公开课

1. [伯克利大学 VS265: Neural Computation - Fall 2020](https://redwood.berkeley.edu/courses/vs265/) **墙裂推荐，本课程学习资料非常完整，讲解清楚**
2. [华盛顿大学 计算神经科学](https://www.bilibili.com/video/BV1pK411j7Rn?from=search&seid=13016473050591849077)
3. [Bernstein-network](https://www.bernstein-network.de/en/study-training-options/online_learning)
4. [Universität Tübingen Introduction to Computational Neuroscience](https://timms.uni-tuebingen.de/tp/UT_20181019_001_compneuro_0001**

主要的实验室

1. Max Planck Institute for Brain Research https://brain.mpg.de/
2. Max Planck Institute for Dynamics and Self-Organization https://www.ds.mpg.de/en
3. Allen Institute for Brain Science https://alleninstitute.org/what-we-do/brain-science/
4. Caltech Tianqiao and Chrissy Chen Institute for Neuroscience https://www.neuroscience.caltech.edu/
5. 清华大学脑与智能实验室 http://brain.tsinghua.edu.cn/

其他学习资源

• 清华大学 2020 summer school http://brain.tsinghua.edu.cn/info/kc2020/701

重要科学家

• Edmund Rolls https://en.wikipedia.org/wiki/Edmund_Rolls

Rolls was ranked in 2019 as the 18th most cited scientist in the UK, and the 150th most cited scientist in the world out of 6,880,389 in any field of science who have published more than 5 papers across every scientific field (i.e. in the top 0.002%**

Brain Computations: What and How. Oxford University Press (2021)

• Santiago Ramón y Cajal

现代神经科学先驱，手绘精美神经元微观结构图 西班牙第一个诺奖得主

• Camillo Golgi
• David H. Hubel
• Torsten N. Wiesel
• Carver Mead 半导体工业，神经形态工程学先驱
• Rafael Yuste: Optical Methods for Neuroscience
• György Buzsáki: neural syntax, brain rhythms

重要历史研究成就

脑数学模型

• sparce coding
• PCA

软件包

重要的开放问题

• 视觉皮层V1大量反投射到LGN，其工作机理