ERP
17 papers with code • 0 benchmarks • 0 datasets
Classification of examples recorded under the Event-Related Potential (ERP) paradigm, as part of Brain-Computer Interfaces (BCI).
A number of ERP datasets can be downloaded using the MOABB library: ERP datasets list
Benchmarks
These leaderboards are used to track progress in ERP
Most implemented papers
NEAR - Newborns EEG Artifact Removal
We propose Newborn EEG Artifact Removal (NEAR), a pipeline for EEG artifact removal designed explicitly for human newborns.
End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities
In brain-computer interfaces (BCI), most of the approaches based on event-related potential (ERP) focus on the detection of P300, aiming for single trial classification for a speller task.
Learning Local Implicit Fourier Representation for Image Warping
In this paper, we propose a local texture estimator for image warping (LTEW) followed by an implicit neural representation to deform images into continuous shapes.
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models
We study the problem of inferring user intent from noninvasive electroencephalography (EEG) to restore communication for people with severe speech and physical impairments (SSPI).
OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer
Omnidirectional images (ODIs) have obtained lots of research interest for immersive experiences.
Distortion-aware Transformer in 360° Salient Object Detection
The first is a Distortion Mapping Module, which guides the model to pre-adapt to distorted features globally.
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets
To achieve this, we design a pattern syntax and a quality measure that ensure the identified subgroups are relevant, non-redundant, and resilient to noise.
