SSVEP

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Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (51 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs
  2 Feb 2016 3 repositories listed
  Brain-computer interfaces (BCIs) have been gaining momentum in making human-computer interaction more natural, especially for people with neuro-muscular disabilities.
• A Transformer-based deep neural network model for SSVEP classification
  9 Oct 2022 2 repositories listed
  The proposed model validates the feasibility of deep learning models based on Transformer structure for SSVEP classification task, and could serve as a potential model to alleviate the calibration procedure in the…
• Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials
  12 Mar 2018 2 repositories listed
  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.
• Online SSVEP-based BCI using Riemannian geometry
  26 May 2016 2 repositories listed
  We propose a novel algorithm for online and asynchronous processing of brain signals, borrowing principles from semi-unsupervised approaches and following a dynamic stopping scheme to provide a prediction as soon as…
• Using Riemannian geometry for SSVEP-based Brain Computer Interface
  14 Jan 2015 2 repositories listed
  Riemannian geometry has been applied to Brain Computer Interface (BCI) for brain signals classification yielding promising results.
• IncepFormerNet: A multi-scale multi-head attention network for SSVEP classification
  4 Feb 2025 1 repository listed
  The experimental results show that IncepFormerNet achieves an accuracy of 87.
• Improving SSVEP BCI Spellers With Data Augmentation and Language Models
  28 Dec 2024 1 repository listed
  Steady-State Visual Evoked Potential (SSVEP) spellers are a promising communication tool for individuals with disabilities.
• The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
  3 Apr 2024 1 repository listed
  The significance of this study lies in its contribution to establishing a rigorous and transparent benchmark for BCI research, offering insights into optimal methodologies and highlighting the importance of…
• S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention
  18 Mar 2024 1 repository listed
  Motivated by the challenge of seamless cross-dataset transfer in EEG signal processing, this article presents an exploratory study on the use of Joint Embedding Predictive Architectures (JEPAs).
• SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer Interfaces
  21 Nov 2023 1 repository listed
  Steady-state visual-evoked potential (SSVEP)-based brain-computer interfaces (BCIs) offer a non-invasive means of communication through high-speed speller systems.
• Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
  27 May 2023 1 repository listed
  This paper presents a source free domain adaptation method for steady-state visually evoked potentials (SSVEP) based brain-computer interface (BCI) spellers.
• Short-length SSVEP data extension by a novel generative adversarial networks based framework
  13 Jan 2023 1 repository listed
  This study substantiates the feasibility of the proposed method to extend the data length for short-time SSVEP signals for developing a high-performance BCI system.
• Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific Training
  3 Sep 2022 1 repository listed
  We transfer this ensemble of fine-tuned DNNs to the new user instance, determine the k most representative DNNs according to the participants' statistical similarities to the new user, and predict the target character…
• FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer Interfaces
  5 Sep 2021 1 repository listed
  Objective: To propose novel SSVEP classification methodologies using deep neural networks (DNNs) and improve performances in single-channel and user-independent brain-computer interfaces (BCIs) with small data lengths.
• A Deep Neural Network for SSVEP-based Brain-Computer Interfaces
  17 Nov 2020 1 repository listed
  Objective: Target identification in brain-computer interface (BCI) spellers refers to the electroencephalogram (EEG) classification for predicting the target character that the subject intends to spell.
• Deep Multi-Task Learning for SSVEP Detection and Visual Response Mapping
  10 Oct 2020 1 repository listed
  Our model is able to perform on a calibration-free user-independent scenario, which is desirable for clinical diagnostics.
• Direct information transfer rate optimisation for SSVEP-based BCI
  19 Jul 2019 1 repository listed
  The proposed method shows good performance in classifying targets of a BCI, outperforming previously reported results on the same dataset by a factor of 2 in terms of ITR.
• Applying advanced machine learning models to classify electro-physiological activity of human brain for use in biometric identification
  3 Aug 2017 1 repository listed
  In this article we present the results of our research related to the study of correlations between specific visual stimulation and the elicited brain's electro-physiological response collected by EEG sensors from a…
• From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification
  3 Apr 2016 1 repository listed
  Brain Computer Interfaces (BCI) based on electroencephalog-raphy (EEG) rely on multichannel brain signal processing.