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) …
Machine learning in biosignals processing for mental health: A narrative review
Machine Learning (ML) offers unique and powerful tools for mental health practitioners to
improve evidence-based psychological interventions and diagnoses. Indeed, by detecting …
improve evidence-based psychological interventions and diagnoses. Indeed, by detecting …
Machine translation of cortical activity to text with an encoder–decoder framework
A decade after speech was first decoded from human brain signals, accuracy and speed
remain far below that of natural speech. Here we show how to decode the …
remain far below that of natural speech. Here we show how to decode the …
Functionally distinct high and low theta oscillations in the human hippocampus
Based on rodent models, researchers have theorized that the hippocampus supports
episodic memory and navigation via the theta oscillation, a~ 4–10 Hz rhythm that …
episodic memory and navigation via the theta oscillation, a~ 4–10 Hz rhythm that …
Recurrent neural network-based acute concussion classifier using raw resting state EEG data
K Thanjavur, A Babul, B Foran, M Bielecki, A Gilchrist… - Scientific reports, 2021 - nature.com
Concussion is a global health concern. Despite its high prevalence, a sound understanding
of the mechanisms underlying this type of diffuse brain injury remains elusive. It is, however …
of the mechanisms underlying this type of diffuse brain injury remains elusive. It is, however …
AJILE12: Long-term naturalistic human intracranial neural recordings and pose
Understanding the neural basis of human movement in naturalistic scenarios is critical for
expanding neuroscience research beyond constrained laboratory paradigms. Here, we …
expanding neuroscience research beyond constrained laboratory paradigms. Here, we …
Investigating data cleaning methods to improve performance of brain–computer interfaces based on stereo-electroencephalography
Stereo-electroencephalography (SEEG) utilizes localized and penetrating depth electrodes
to directly measure electrophysiological brain activity. The implanted electrodes generally …
to directly measure electrophysiological brain activity. The implanted electrodes generally …
The Penn Electrophysiology of Encoding and Retrieval Study.
Abstract The Penn Electrophysiology of Encoding and Retrieval Study (PEERS) aimed to
characterize the behavioral and electrophysiological (EEG) correlates of memory encoding …
characterize the behavioral and electrophysiological (EEG) correlates of memory encoding …
[HTML][HTML] Phase synchronization during the processing of taxonomic and thematic relations
Semantic relations include “taxonomic” relations based on shared features and “thematic”
relations based on co-occurrence in events. The “dual-hub” account proposes that the …
relations based on co-occurrence in events. The “dual-hub” account proposes that the …
Training Accuracy Improvement for ERP Datasets by Employing Restart Learning Strategy
M Liu, FR Beyette - 2023 11th International Conference on …, 2023 - ieeexplore.ieee.org
The Event Related Potential (ERP) technique provides a powerful way of exploring brain
and neuroscience. However, ERP data are susceptible to different noises and artifacts some …
and neuroscience. However, ERP data are susceptible to different noises and artifacts some …