High-resolution functional magnetic resonance imaging (fMRI) using blood oxygenation
dependent level-dependent (BOLD) signal is an increasingly popular tool to non-invasively …

The functional MRI (fMRI) signal is an indirect measure of neuronal activity. In order to
deconvolve the neuronal activity from the experimental fMRI data, biophysical generative models …

This paper presents a new approach to inverting (fitting) models of coupled dynamical systems
based on state-of-the-art (cubature) Kalman filtering. Crucially, this inversion furnishes …

As the size of functional and structural MRI datasets expands, it becomes increasingly
important to establish a baseline from which diagnostic relevance may be determined, a …

Functional connectivity (FC) examines temporal statistical dependencies among distant
brain regions by means of seed‐based analysis or independent component analysis (ICA). …

Increasing interest in understanding dynamic interactions of brain neural networks leads to
formulation of sophisticated connectivity analysis methods. Recent studies have applied …

… Martin Havlicek , Martin Havlicek … Monika Dolejska, Martina Masarikova, Hana Dobiasova,
Ivana Jamborova, Renata Karpiskova, Martin Havlicek, Nicholas Carlile, David Priddel, Alois …

Functional MRI at ultra-high magnetic fields (≥ 7 T) provides the opportunity to probe
columnar and laminar processing in the human brain in vivo at sub-millimeter spatial scales. …

Functional magnetic resonance imaging (fMRI) is an indirect measure of neural activity
which is modeled as a convolution of the latent neuronal response and the hemodynamic …

The mesoscopic organization of the human neocortex is of great interest for cognitive
neuroscience. However, fMRI in humans typically maps the functional units of cognitive processing …