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For the neuroscientist or psychologist who cringes at the sight of mathematical formulae and whose eyes glaze over at terms like differential equations, linear algebra, vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed. Britt Anderson guides the reader into the world of computational methods; writing lucidly and grounding this journey with elegantly constructed exercises.
Really good one for introduction. I recommended it especially to first-term master's students.
The authors try to cover a variety of different topics ranging from theoretical neuroscience, to applied computational neuroscience and cognitive modeling. In the end, this broad approach may provide as a very rough overview, but doesn't leave the reader with much knowledge that is really applicable. Also, I don't really see the use of Python as a plus; the language is less intuitive to understand than MATLAB, and (although many people don't like to hear it) far away from becoming a standard in our field (which MATLAB still is).
This text would be recommended for M-Level students as a step by step guide to computational neuroscience.
Anderson shares his journey towards developing an understanding in this area which will be of great support to students who are keen to learn more about computation modelling methods and procedures.
