Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …

A group of neurons can generate patterns of activity that represent information about stimuli;
subsequently, the group can transform and transmit activity patterns across synapses to …

Abstract Predicting how the El Niño/Southern Oscillation (ENSO) will change with global
warming is of enormous importance to society,,,. ENSO exhibits considerable natural …

This study evaluates the COVID-19 impacts on traffic-related air pollution, including ultrafine
particles (UFPs), PM 2.5, black carbon (BC), NO, NO 2, NO x, and CO in a Northwestern US …

Information flow between brain areas is difficult to estimate from EEG measurements due to
the presence of noise as well as due to volume conduction. We here test the ability of …

The analysis of the interdependence between time series has become an important field of
research in the last years, mainly as a result of advances in the characterization of …

Decoding of motor imagery (MI) from Electroencephalogram (EEG) is an important
component of BCI system that helps motor-disabled people interact with the outside world …

Developmental dyslexia is a reading disorder often characterized by reduced awareness of
speech units. Whether the neural source of this phonological disorder in dyslexic readers …

In lower mammals, locomotion seems to be mainly regulated by subcortical and spinal
networks. On the contrary, recent evidence suggests that in humans the motor cortex is also …

Whether functional magnetic resonance imaging (fMRI) allows the identification of neural
drivers remains an open question of particular importance to refine physiological and …