Error-perception-classification-in-BCI-using-CNN
importedsoftware/error-perception-classification-in-bci-using-cnn
This work aims to classify the occurrence of a feedback error, i.e., the perception of an error by a user interacting with a Brain-Computer Interface (BCI). To achieve that, Convolutional Neural…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- brain-computer-interface · comet-ml · deep-learning · error-perception · machine-learning · master-thesis · python · pytorch
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- BCI-ToolBoxbrain-computer-interface · pytorch
Deep Learning pipeline for motor-imagery classification.
- ConvLSTM-Pytorchbrain-computer-interface · pytorch
Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting
- fNIRSNetbrain-computer-interface · pytorch
CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification
- NeuroFlowbrain-computer-interface · pytorch
Full-stack real-time EEG analytics and device-ready BCI research platform
- ssvep-multi-task-learningbrain-computer-interface · pytorch
Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free…
- torchsignalbrain-computer-interface · pytorch
Data manipulation and transformation for signal processing, powered by PyTorch
- api.github.com/repos/LeafarCoder/Error-perception-classification-in-BCI-using-CNNretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-10-09, 5 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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