Array programming provides a powerful, compact and expressive syntax for accessing,
manipulating and operating on data in vectors, matrices and higher-dimensional arrays …

SciPy is an open-source scientific computing library for the Python programming language.
Since its initial release in 2001, SciPy has become a de facto standard for leveraging …

Decoding, ie prediction from brain images or signals, calls for empirical evaluation of its
predictive power. Such evaluation is achieved via cross-validation, a method also used to …

Statistical machine learning methods are increasingly used for neuroimaging data analysis.
Their main virtue is their ability to model high-dimensional datasets, eg multivariate analysis …

Diffusion Tensor Imaging (DTI) studies are increasingly popular among clinicians and
researchers as they provide unique insights into brain network connectivity. However, in …

Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular
both with clinicians and researchers as they are capable of providing unique insights into …

Decoding patterns of neural activity onto cognitive states is one of the central goals of
functional brain imaging. Standard univariate fMRI analysis methods, which correlate …

How we process ongoing experiences is shaped by our personal history, current needs, and
future goals. Consequently, ventromedial prefrontal cortex (vmPFC) activity involved in …

Surface visualizations of fMRI provide a comprehensive view of cortical activity. However,
surface visualizations are difficult to generate and most common visualization techniques …

Juvenile myoclonic epilepsy is the most common idiopathic generalized epilepsy,
characterized by frequent myoclonic jerks, generalized tonic-clonic seizures and, less …