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Start coding. Do it.

This is not a fair, even-handed review of all possible languages for all purposes. The intended audience is undergraduate psychology students who cannot code. What is coding? Why learn to code? Excellent arguments are made in this person’s blog post “Why every (psychology) student should learn to code“. The main points are: If you want […]

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Hello Python

Previously, I made the decision to transition away from Matlab towards Python. Converting over to a new language is a big deal and there are many questions and issues to be addressed. In the future I will get a bit more detailed and discuss how I set up and use my Python environment – there […]

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Goodbye Matlab

In the last few months I’ve decided to break off a ~15 year relationship with Matlab. We’ve been through many important times together and it’s not been an easy decision to make, but I think this is the best for both of us. Matlab saw me through my DPhil, helping me code up neural network […]

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Bayesian t-tests

A lot of people want to understand more about Bayesian methods. Some people might get some traction by directly comparing something they already understand (such as a t-test) under the traditional approach, to a Bayesian way of tackling the problem. John Kruschke comes to the rescue. He has published a nice paper on the Bayesian […]

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Energy efficient receptive field code

[UPDATE: February 2014] The files and instructions are now hosted on GitHub.   Energy efficient receptive field code by Benjamin Vincent is licensed under a Creative Commons Attribution-Non-Commercial-Share Alike 3.0 Unported License. This minimal set of MATLAB functions will set up a simple neural network to learn receptive fields. These receptive fields minimise an energy function which involves a) […]

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