Advances in human intracranial electroencephalography research, guidelines and good practices
Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …
[HTML][HTML] EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review
The present review discusses a well-established method for characterizing resting-state
activity of the human brain using multichannel electroencephalography (EEG). This method …
activity of the human brain using multichannel electroencephalography (EEG). This method …
The theory of constructed emotion: an active inference account of interoception and categorization
LF Barrett - Social cognitive and affective neuroscience, 2017 - academic.oup.com
The science of emotion has been using folk psychology categories derived from philosophy
to search for the brain basis of emotion. The last two decades of neuroscience research …
to search for the brain basis of emotion. The last two decades of neuroscience research …
Time-frequency super-resolution with superlets
Abstract Due to the Heisenberg–Gabor uncertainty principle, finite oscillation transients are
difficult to localize simultaneously in both time and frequency. Classical estimators, like the …
difficult to localize simultaneously in both time and frequency. Classical estimators, like the …
Where does EEG come from and what does it mean?
MX Cohen - Trends in neurosciences, 2017 - cell.com
Electroencephalography (EEG) has been instrumental in making discoveries about
cognition, brain function, and dysfunction. However, where do EEG signals come from and …
cognition, brain function, and dysfunction. However, where do EEG signals come from and …
[图书][B] Analyzing neural time series data: theory and practice
MX Cohen - 2014 - books.google.com
A comprehensive guide to the conceptual, mathematical, and implementational aspects of
analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This …
analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This …
Tracking whole-brain connectivity dynamics in the resting state
Spontaneous fluctuations are a hallmark of recordings of neural signals, emergent over time
scales spanning milliseconds and tens of minutes. However, investigations of intrinsic brain …
scales spanning milliseconds and tens of minutes. However, investigations of intrinsic brain …
[HTML][HTML] Physiological feelings
EF Pace-Schott, MC Amole, T Aue, M Balconi… - Neuroscience & …, 2019 - Elsevier
The role of peripheral physiology in the experience of emotion has been debated since the
19th century following the seminal proposal by William James that somatic responses to …
19th century following the seminal proposal by William James that somatic responses to …
Transcranial focused ultrasound modulates the activity of primary somatosensory cortex in humans
Improved methods of noninvasively modulating human brain function are needed. Here we
probed the influence of transcranial focused ultrasound (tFUS) targeted to the human …
probed the influence of transcranial focused ultrasound (tFUS) targeted to the human …
Real-time movie-induced discrete emotion recognition from EEG signals
Recognition of a human's continuous emotional states in real time plays an important role in
machine emotional intelligence and human-machine interaction. Existing real-time emotion …
machine emotional intelligence and human-machine interaction. Existing real-time emotion …