Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake,
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …

Functional neuroimaging techniques have transformed our ability to probe the
neurobiological basis of behaviour and are increasingly being applied by the wider …

Scientists often adjust their significance threshold (alpha level) during null hypothesis
significance testing in order to take into account multiple testing and multiple comparisons …

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models
for linguistics. The book covers simple uses of linear models through generalized models to …

Humans can attribute beliefs to others. However, it is unknown to what extent this ability
results from an innate biological endowment or from experience accrued through child …

We consider the question: what can be learnt by looking at and listening to a large number
of unlabelled videos? There is a valuable, but so far untapped, source of information …

Despite a growing body of research suggesting that task-based functional magnetic
resonance imaging (fMRI) studies often suffer from a lack of statistical power due to too …

Poor research design and data analysis encourage false-positive findings. Such poor
methods persist despite perennial calls for improvement, suggesting that they result from …

This is the first introductory statistics text to use an estimation approach from the start to help
readers understand effect sizes, confidence intervals (CIs), and meta-analysis ('the new …

Multivariate pattern analysis (MVPA) or brain decoding methods have become standard
practice in analyzing fMRI data. Although decoding methods have been extensively applied …