Blood oxygen-level-dependent functional magnetic resonance imaging (BOLD fMRI) has
rapidly become a popular technique for the investigation of brain function in healthy …

The simultaneous acquisition of electroencephalography (EEG) with functional magnetic
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …

It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear
behaviours. Here we challenge this assumption by leveraging mathematical models derived …

In recent years there has been explosive growth in the number of neuroimaging studies
performed using functional Magnetic Resonance Imaging (fMRI). The field that has grown …

It has previously been shown that low-frequency fluctuations in both respiratory volume and
cardiac rate can induce changes in the blood-oxygen level dependent (BOLD) signal. Such …

Most brain research to date have focused on studying the amplitude of evoked fMRI
responses, though there has recently been an increased interest in measuring onset, peak …

The hemodynamic response function (HRF) greatly influences the intra-and inter-subject
variability of brain activation and connectivity, and might confound the estimation of temporal …

The decoding of selective auditory attention from noninvasive electroencephalogram (EEG)
data is of interest in brain computer interface and auditory perception research. The current …

Functional near-infrared spectroscopy (fNIR) is a neroimaging modality that enables
continuous, noninvasive, and portable monitoring of changes in blood oxygenation and …

A central challenge in the computational modeling of neural dynamics is the trade-off
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …