理论神经科学
Theoretical neuroscience
Peter Dayan、L. F. Abbott · 初版 2001 年
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“理论神经科学为描述神经系统的行为、确定其工作机制以及揭示其运作的一般原理提供了定量基础。本书介绍了理论神经科学的基础数学与计算方法，并展示了其在视觉、感觉运动整合、发育、学习和记忆等多个领域的应用。”——书封介绍。
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Theoretical neuroscience
Peter Dayan、L. F. Abbott · 初版 2001 年
“理论神经科学为描述神经系统的行为、确定其工作机制以及揭示其运作的一般原理提供了定量基础。本书介绍了理论神经科学的基础数学与计算方法，并展示了其在视觉、感觉运动整合、发育、学习和记忆等多个领域的应用。”——书封介绍。
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……一本很棒的薄书是《From Neuron to Brain》（适合高年级本科生/低年级研究生）：http://www.amazon.com/Neuron-Brain-Cellular-Molecular-Approa... 如果你对计算神经学更感兴趣，可以看看《Theoretical Neuroscience》：http://www.amazon.com/Theoretical-Neuroscience-Computational... 另外我还想加一本关于 spike 记录的很棒的计算教材：http://www.amazon.com/Spikes-Exploring-Neural-Computational-...…
…great slimmer one is "From Neuron to Brain" (advanced undergrad/early grad): http://www.amazon.com/Neuron-Brain-Cellular-Molecular-Approa... If you're more interested in the computational end, try "Theoretical Neuroscience": http://www.amazon.com/Theoretical-Neuroscience-Computational... And I'll also add in a great computational textbook on spike recording: http://www.amazon.com/Spikes-Exploring-Neural-Computational-...…
……“发人深省、技术严谨、阅读体验好、覆盖相对全面，且对门外汉友好的入门读物……”，差不多就这样。我自己很喜欢的几本书（虽然不一定完全达到那个标准）有：- Dayan 和 Abbott 写的《Theoretical Neuroscience》（里面有数学——但写得很克制客气，跳过公式也完全读得下去）- 《Handbook of Brain Theory and Neural Networks》：http://mitpress.mit.edu/0262011972 不过……
…"Thought-provoking, technically rigorous, enjoyable, somewhat comprehensive, and layman-compatible introduction to..", more or less. Some books I enjoyed (but which don't necessary achieve that status) are: - Theoretical Neuroscience by Dayan & Abbott (this has math - but it's quite polite about it, and remains readable if you skip the equations) - Handbook of Brain Theory and Neural Networks:http://mitpress.mit.edu/0262011972 But…
Bear 的《Neuroscience: Exploring the Brain》、Purves 的《Neuroscience》、Kandel 的《Principles of Neural Science》（研究生级别，但绝对是神经科学圣经）、Dayan 和 Abbot 的《Theoretical Neuroscience》（很适合计算神经科学）、《The Art of Electronics》第二版（这里算作弊了，但在深入神经科学这种极端特例之前，先把基础过一遍挺好的）。总的来说，AI 太新了，以至于……
Bear's Neuroscience: Exploring the Brain Purves's Neuroscience Kandel's Principles of Neural Science (grad level, but really the bible for neuro) Dayan and Abbot's Theoretical Neuroscience (good for compneuro) The Art of Electronics, 2nd edition (cheating here, but it's good to go back through the fundamentals before going into the edge cases that is neuro) In general, AI is so new that…
呃，我脑子里浮现的是 Dayan 和 Abbott 的《Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems》。不过这本书偏神经科学的内容挺多的。还有一本《Spikes: Exploring the neural code》https://mitpress.mit.edu/books/spikes…
Um, Dayan & Abbott's "Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems" comes to mind. It's rather neuroscience heavy though. Then there is "Spikes: Exploring the neural code" https://mitpress.mit.edu/books/spikes…
……生物神经元到神经网络。本质上，神经网络里的权重最终对应的是发放脉冲神经元群体的稳态发放率。例如可以参考 Dayan 和 Abbott 所著《Theoretical Neuroscience》的第 7 章。
…biological neurons to neural nets. Essentially the weights in the neural net end up corresponding to steady-state firing rates of populations of spiking neurons. See for example Chapter 7 of Dayan & Abbott's Theoretical Neuroscience.
我不是楼主，不过推荐这几本：- 《Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems》——Peter Dayan, L. F. Abbott (2001)，非常棒，偏数学多于偏计算。- 《Neuronal Dynamics》，在线阅读地址：https://neuronaldynamics.epfl.ch/…
Not the original poster, but: - Theoretical Neuroscience Computational and Mathematical Modeling of Neural Systems - Peter Dayan, L. F. Abbott (2001) is quite good, more mathematical than computational. - Neuronal dynamics, available here: https://neuronaldynamics.epfl.ch/…