EEG

38 papers with code · Methodology

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Greatest papers with code

SGDR: Stochastic Gradient Descent with Warm Restarts

13 Aug 2016rwightman/pytorch-image-models

Partial warm restarts are also gaining popularity in gradient-based optimization to improve the rate of convergence in accelerated gradient schemes to deal with ill-conditioned functions.

EEG STOCHASTIC OPTIMIZATION

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

19 Nov 2015pbashivan/EEGLearn

One of the challenges in modeling cognitive events from electroencephalogram (EEG) data is finding representations that are invariant to inter- and intra-subject differences, as well as to inherent noise associated with such data.

EEG TIME SERIES VIDEO CLASSIFICATION

EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces

23 Nov 2016meagmohit/EEG-Datasets

We introduce the use of depthwise and separable convolutions to construct an EEG-specific model which encapsulates well-known EEG feature extraction concepts for BCI.

EEG

Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials

12 Mar 2018vlawhern/arl-eegmodels

Steady-State Visual Evoked Potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli.

CALIBRATION EEG

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

12 Mar 2017akaraspt/deepsleepnet

This demonstrated that, without changing the model architecture and the training algorithm, our model could automatically learn features for sleep stage scoring from different raw single-channel EEGs from different datasets without utilizing any hand-engineered features.

EEG SLEEP STAGE DETECTION

An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

18 Dec 2016pulp-platform/pulpissimo

Near-sensor data analytics is a promising direction for IoT endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns, as valuable data is stored or sent over the network at various stages of the analytics pipeline.

EEG FACE DETECTION SEIZURE DETECTION

Deep learning-based electroencephalography analysis: a systematic review

16 Jan 2019hubertjb/dl-eeg-review

To help the field progress, we provide a list of recommendations for future studies and we make our summary table of DL and EEG papers available and invite the community to contribute.

BRAIN DECODING EEG TIME SERIES

Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG

25 Nov 2018kylemath/DeepEEG

We present the first real-time sleep staging system that uses deep learning without the need for servers in a smartphone application for a wearable EEG.

EEG SLEEP STAGE DETECTION

Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs

2 Feb 2016MAMEM/ssvep-eeg-processing-toolbox

Brain-computer interfaces (BCIs) have been gaining momentum in making human-computer interaction more natural, especially for people with neuro-muscular disabilities.

EEG FEATURE SELECTION

EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

5 Jun 2018kahartma/GAN

Generative adversarial networks (GANs) are recently highly successful in generative applications involving images and start being applied to time series data.

DATA AUGMENTATION EEG TIME SERIES