Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book will be the essential text for anyone in the brain sciences who wants to get to grips with this topic.

Theoretical Neuroscience - Computational and Mathematical Modeling of Neural Systems _ Peter Dayan, L. F. Abbott 计算神经必备的神经科学专著，作者是两个大牛。

脑模型 BrainModels提供了由模拟器实现的标准和规范的大脑模型（包括各种神经元，突触，网络和直观的纸张示例）。 此外，我们欢迎您的大脑模型实现，并通过我们的主页发布它们。 这样，一旦实现了新模型，便可以轻松地与其他BrainPy用户共享。 目前，我们提供以下模型： 神经元模型 突触模型 学习规则 / / 安装 使用pip安装BrainModels ： > pip install brainmodels 安装BrainModels使用conda ： > conda install brainmodels -c brainpy 从源代码安装： > pip install git+https://github.com/PKU-NIP-Lab/BrainModels > # or > git clone https://github.com/PKU-NIP-Lab/Br