<p>I've looked through that book briefly but never really got into it... if I could suggest some others, though: Dayan and Abbott's <em>Theoretical Neuroscience</em> is a standard text in computational neuroscience but if I understand your question correctly, you might enjoy Kevin Murphy's <em>Machine Learning: A Probabilistic Perspective</em>, or David MacKay's <em>Information theory, inference, and learning algorithms</em> a bit more. Trappenberg's <em>Fundamentals of computational neuroscience</em> is also one of my favourites, but moreso on the neuroscience side of things.</p>

CC BY-SA 3.0
2016-06-17T03:01:10.487Z
2016-06-17T03:01:10.487Z
Abraham Nunes
<p>Currently I'm studying mathematics (2nd year) and I think I'm pretty into neuroscience. To "test" this, I purchased <a href="http://www.amazon.de/gp/product/B00CF0K3V4/ref=oh_d__o00_details_o00__i00?ie=UTF8&amp;psc=1" rel="nofollow">Principles of Computational Modelling in Neuroscience</a> and am considering to get <a href="http://www.amazon.de/Biophysics-Computation-Computational-Neuroscience-ebook/dp/B000VDK2CM/" rel="nofollow">Biophysics of Computation: Information Processing in Single Neurons</a> which seems to fit my interests fairly well, as I'd want to steer a middle course: Learn about the biological structure and manner of functioning of neural cells and thus be able to derive and develop models that do not only fulfill one special task (like most machine learning, ... now - an algorithm for face recognition will never challenge its own functioning), but rather resemble our brain.</p>

<p>As <em>Biophysics of Computation</em> was published in 1998, I wanted to know if it is still a good read, or already considered too outdated?</p>

CC BY-SA 3.0
2013-09-13T17:35:54.573Z
I recommend Theoretical neuroscience by Abbott and Dayan. http://amzn.to/18j8Teh
Memming
<reference-request><theoretical-neuroscience><computational-modeling>
Is "Biophysics of Computation" still a good book?
Peter
# Is "Biophysics of Computation" still a good book?

(Asked by: username_0 on 2013-09-12)

Currently I'm studying mathematics (2nd year) and I think I'm pretty into neuroscience. To "test" this, I purchased [Principles of Computational Modelling in Neuroscience](http://www.amazon.de/gp/product/B00CF0K3V4/ref=oh_d__o00_details_o00__i00?ie=UTF8&psc=1) and am considering to get [Biophysics of Computation: Information Processing in Single Neurons](http://www.amazon.de/Biophysics-Computation-Computational-Neuroscience-ebook/dp/B000VDK2CM/) which seems to fit my interests fairly well, as I'd want to steer a middle course: Learn about the biological structure and manner of functioning of neural cells and thus be able to derive and develop models that do not only fulfill one special task (like most machine learning, ... now - an algorithm for face recognition will never challenge its own functioning), but rather resemble our brain.

As *Biophysics of Computation* was published in 1998, I wanted to know if it is still a good read, or already considered too outdated?

**Tags:** reference-request, theoretical-neuroscience, computational-modeling

> **Comments:**
> **username_1**: I recommend Theoretical neuroscience by Abbott and Dayan. http://amzn.to/18j8Teh  

---

## 1 answers

### Answer by username_2 on 2016-06-17. Score: 1 | Accepted answer

I've looked through that book briefly but never really got into it... if I could suggest some others, though: Dayan and Abbott's *Theoretical Neuroscience* is a standard text in computational neuroscience but if I understand your question correctly, you might enjoy Kevin Murphy's *Machine Learning: A Probabilistic Perspective*, or David MacKay's *Information theory, inference, and learning algorithms* a bit more. Trappenberg's *Fundamentals of computational neuroscience* is also one of my favourites, but moreso on the neuroscience side of things.


---

