EEG

60 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

Decoding P300 Variability using Convolutional Neural Networks

Frontiers in Human Neuroscience 2019 vlawhern/arl-eegmodels

Deep convolutional neural networks (CNN) have previously been shown to be useful tools for signal decoding and analysis in a variety of complex domains, such as image processing and speech recognition.

EEG EEG DECODING SPEECH RECOGNITION

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

Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals

NeurIPS 2018 alphacsc/alphacsc

Frequency-specific patterns of neural activity are traditionally interpreted as sustained rhythmic oscillations, and related to cognitive mechanisms such as attention, high level visual processing or motor control.

EEG TIME SERIES