Functional connectivity (FC) is conventionally defined by measuring the similarity between
brain signals from two regions. The technique has become widely adopted in the analysis of …

Here, we propose a novel technique to investigate nonlinear interactions between brain
regions that captures both the strength and type of the functional relationship. Inspired by the …

Soil extracellular electron transfer (EET) is a pivotal biological process within the realm of
soil. Unfortunately, EET suffers from a lack of predictive models. Herein, an intricately crafted …

Visibility graphs provide a novel approach for analysing time-series data. Graph theoretical
analysis of visibility graphs can provide new features for data mining applications in fMRI …

Cognitive processes engage multiple interacting brain regions. To study these interactions,
researchers analyze neural data with “connectivity” methods, that capture the temporal co …

Functional magnetic resonance imaging (fMRI) is widely used in neuroscience research.
FMRI data is noisy; improving denoising methods could lead to novel discoveries. Here, we …

One major challenge in developmental neuroscience research is the sheer number of
choices researchers face when addressing even a single research question. Even once …

Category selectivity is a fundamental principle of organization of perceptual brain regions.
Human occipitotemporal cortex is subdivided into areas that respond preferentially to faces …

In this paper we propose a novel technique to investigate the nonlinear interactions between
brain regions that captures both the strength and the type of the functional relationship …