如果你对这个感兴趣，可能也会想看看 Christof Koch 的《Biophysics of Computation》。电缆理论（Cable theory）在前几章里就有介绍。
If this is your thing, you might also want to check out Christof Koch's Biophysics of Computation. Cable theory is introduced in one of the first few chapters.
……那些操作？”），以及实现层（“算法是如何实现的”）。从那之后，就取决于你对什么感兴趣了。在单细胞层面，Cristof Koch 有一本名为《The Biophysics of Computation》的书，“解释了单个神经元可用的计算功能全集，展示了单个神经细胞如何对突触输入进行乘法、积分和延迟”（等等）。Michael……
…those operations?"), and the implementation level ("how is the algorithm implemented"). From there, it depends on what you're interested in. At the single-cell level, Cristof Koch has a book called The Biophysics of Computation that "explains the repetoire of computational functions available to single neurons, showing how individual nerve cells can multiply, integrate, and delay synaptic input" (among other things). Michael…
> 但当然，大脑中的每个神经元都复杂得令人费解，我们仍然不知道也不理解这种复杂性是如何转化为思想和智慧的。确实。《Biophysics of Computation: Information Processing in Single Neurons》挑战了这种观点，利用细胞生物物理学中极其详实的实验和理论发现，解释了计算功能的库……
> But of course, every neuron in the brain is bafflingly complex and we still don't know or understand how that complexity manifests itself in thought and intelligence. Indeed. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions…
如果你对这个感兴趣，可能也会想看看 Christof Koch 的《Biophysics of Computation》。电缆理论（Cable theory）在前几章里就有介绍。
If this is your thing, you might also want to check out Christof Koch's Biophysics of Computation. Cable theory is introduced in one of the first few chapters.
……那些操作？”），以及实现层（“算法是如何实现的”）。从那之后，就取决于你对什么感兴趣了。在单细胞层面，Cristof Koch 有一本名为《The Biophysics of Computation》的书，“解释了单个神经元可用的计算功能全集，展示了单个神经细胞如何对突触输入进行乘法、积分和延迟”（等等）。Michael……
…those operations?"), and the implementation level ("how is the algorithm implemented"). From there, it depends on what you're interested in. At the single-cell level, Cristof Koch has a book called The Biophysics of Computation that "explains the repetoire of computational functions available to single neurons, showing how individual nerve cells can multiply, integrate, and delay synaptic input" (among other things). Michael…
> 但当然，大脑中的每个神经元都复杂得令人费解，我们仍然不知道也不理解这种复杂性是如何转化为思想和智慧的。确实。《Biophysics of Computation: Information Processing in Single Neurons》挑战了这种观点，利用细胞生物物理学中极其详实的实验和理论发现，解释了计算功能的库……
> But of course, every neuron in the brain is bafflingly complex and we still don't know or understand how that complexity manifests itself in thought and intelligence. Indeed. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions…