GitHub / LeafarCoder / 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 Network (CNN) models are developed.
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PURL: pkg:github/LeafarCoder/Error-perception-classification-in-BCI-using-CNN
Stars: 4
Forks: 3
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 4.13 MB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: almost 3 years ago
Pushed at: almost 4 years ago
Last synced at: over 2 years ago
Topics: brain-computer-interface, comet-ml, deep-learning, error-perception, machine-learning, master-thesis, python, pytorch, pytorch-lightning