Open post

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 […]

Continue readingMore Tag
Open post

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) […]

Continue readingMore Tag
Open post

The prominence of behavioural biases in eye guidance

Abstract When attempting to understand where people look during scene perception, researchers typically focus on the relative contributions of low- and high-level cues. Computational models of the contribution of low-level features to fixation selection, with modifications to incorporate top-down sources of information have been abundant in recent research. However, we are still some way from […]

Continue readingMore Tag
Open post

Using mixture modelling to distinguish between low- and high-level factors in natural image viewing

Abstract The allocation of overt visual attention while viewing photographs of natural scenes is commonly thought to involve both bottom-up feature cues, such as luminance contrast, and top-down factors such as behavioural relevance and scene under- standing. Profiting from the fact that light sources are highly visible but uninformative in visual scenes, we develop a […]

Continue readingMore Tag

Posts navigation

1 2 3 4 5 6 7