Graph-Based Trial Order Counterbalancing (Brooks, 2012): A Matlab tool based on Brooks (2012) for generating sequences of conditions for experiments which counterbalances for carryover effects between conditions. You can generate sequences of trials in which each condition precedes every other condition equally often. It is also possible to achieve n-back counterbalancing in which each trial is preceding by every n-length combination of conditions equally often.
Figure-Ground Stimulus Generators (Brooks & Driver, 2010): A set of Matlab functions which can be used to generate bipartite images with pseudo-random edges for use in figure-ground organisation studies. Parameters allow control of edge bumpiness, smoothness, region colours, etc. Used to generate stimuli for Brooks & Driver (2010).
AGAT: Data Driven ROI Localisation for ERPs (Brooks, et al., 2017): A data-driven approach to finding ROIs in ERP studies without inflating Type I error rate which can increase statistical power. See the Brooks, Zoumpoulaki, & Bowman (2017) paper and visit this section to download simulation scripts and a tool for computing AGAT in EEGLab.
Processing PsychoPy output files: A basic tutorial on how to process PsychoPy output files so that you can make a summary of behavioural performance including accuracy and reaction times.
Edge-Region Grouping & Figure Ground Organisation: Palmer & Brooks (2008)
Contextual Influences on Figure-Ground via Grouping: Brooks & Driver (2010)
Inter-Edge Grouping: Figure-Ground Principle: Brooks, Davila, & Satish (in prep)
Entropy as Edge-Region Grouping: Brooks & Danielsdottir (in prep)
Pre-stimulus Oscillations and Figure-Ground Reversal (in prep)
Biosemi EEG Setup Instructions: Basic instructions for preparing a participant for an experiment using the Biosemi EEG system
Biosemi EEG Clean-up Instructions: Basic instructions for cleaning the Biosemi cap and electrodes after an experment