This paper reviews recent progress in the diagnosis of Alzheimer's disease (AD) from
electroencephalograms (EEG). Three major effects of AD on EEG have been observed …

The simultaneous recording and analysis of electroencephalography (EEG) and fMRI data
in human systems, cognitive and clinical neurosciences is rapidly evolving and has received …

Connecting memristors into any neural circuit can enhance its potential controllability under
external physical stimuli. Memristive current along a magnetic flux-controlled memristor can …

In the cerebral cortex, the activity levels of neuronal populations are continuously fluctuating.
When neuronal activity, as measured using functional MRI (fMRI), is temporally coherent …

We present The Virtual Brain (TVB), a neuroinformatics platform for full brain network
simulations using biologically realistic connectivity. This simulation environment enables the …

Brain function is thought to emerge from the interactions among neuronal populations. Apart
from traditional efforts to reproduce brain dynamics from the micro-to macroscopic scales …

We reviewed computer models that have been developed to reproduce and explain
epileptiform activity. Unlike other already-published reviews on computer models of …

Abstract Dynamic Causal Modelling (DCM) is an approach first introduced for the analysis of
functional magnetic resonance imaging (fMRI) to quantify effective connectivity between …

The goal of dynamic causal modelling (DCM) of neuroimaging data is to study
experimentally induced changes in functional integration among brain regions. This requires …

Abstract The Human Connectome Project (HCP) seeks to map the structural and functional
connections between network elements in the human brain. Magnetoencephalography …