EEG signals recorded from seven healthy subjects. On average, Seventy-three minutes of EEG data were recorded from 31 electrodes placed according to the extended 10-20 system. Signals are used in the paradigm-agnostic post-hoc labeled dataset generation framework for benchmarking of oscillatory neural decoding methods.Pre-print of the paper "Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods" available at http://arxiv.org/abs/1711.0820
EEG stands for Electroencephalogram. EEG is used to record signals from brain; signals are recorded ...
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals...
There is significant current interest in decoding mental states from electroencephalography (EEG) re...
Electroencephalography is a medical diagnosis technique. It consists in measuring the biopotentials ...
The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the...
Electroencephalography (EEG) is a non-invasive technique used to record the brain’s evoked and induc...
Nowadays, machine and deep learning techniques are widely used in different areas, ranging from econ...
Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program ...
Neural networks are trained to classify half-second segments of six-channel, EEG data into one of fi...
Recording extracellulary from neurons in the brains of animals in vivo is among the most established...
Abstract Electroencephalography (EEG) is a non-invasive measurement method for brain activity. Due t...
International audienceAlthough promising, BCIs are still barely used outside laboratories due to the...
A Brain computing system is a communication channel between the human or animal brain and external e...
The brain is a complex and dynamic system, consisting of interacting sets and the temporal evolution...
The recent evolution in multidisciplinary fields of Engineering, neuroscience, microelec-tronics, bi...
EEG stands for Electroencephalogram. EEG is used to record signals from brain; signals are recorded ...
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals...
There is significant current interest in decoding mental states from electroencephalography (EEG) re...
Electroencephalography is a medical diagnosis technique. It consists in measuring the biopotentials ...
The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the...
Electroencephalography (EEG) is a non-invasive technique used to record the brain’s evoked and induc...
Nowadays, machine and deep learning techniques are widely used in different areas, ranging from econ...
Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program ...
Neural networks are trained to classify half-second segments of six-channel, EEG data into one of fi...
Recording extracellulary from neurons in the brains of animals in vivo is among the most established...
Abstract Electroencephalography (EEG) is a non-invasive measurement method for brain activity. Due t...
International audienceAlthough promising, BCIs are still barely used outside laboratories due to the...
A Brain computing system is a communication channel between the human or animal brain and external e...
The brain is a complex and dynamic system, consisting of interacting sets and the temporal evolution...
The recent evolution in multidisciplinary fields of Engineering, neuroscience, microelec-tronics, bi...
EEG stands for Electroencephalogram. EEG is used to record signals from brain; signals are recorded ...
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals...
There is significant current interest in decoding mental states from electroencephalography (EEG) re...