Repository contains all code needed to work with ArEEG dataset
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Updated
Aug 30, 2025 - Jupyter Notebook
Repository contains all code needed to work with ArEEG dataset
A framework to provide robots with inner speech skill. This is a pioneristic approach for evaluating how inner speech could influence the human-robot interaction in a cooperative scenario
EEG-to-Text Model [BETA]
Consumer brain-computer interface for inner speech decoding. 8-channel EEG headband ($800) outperforms 128-channel clinical systems ($50K). EEGNet 35.5% accuracy (p=0.0006), cross-subject generalization (p=0.003). Real-time demo included.
A reproducible benchmark connecting Jev semantic priors with intracortical inner-speech BCI decoding.
The model of the tight link between the robot's inner speech and emotions
bai-Mind-16P is an EEG inner-speech (imagined speech) brain–computer interface model from the bai-Mind family, optimized for 16-electrode OpenBCI setups (Cyton+Daisy). It decodes direction commands — Up / Down / Left / Right — that the user silently repeats in their head, and turns them into computer commands.
Aleena Zahra Portfolio Website. Aleena Zahra is a Computational Neuroscience & Data Science Researcher from FAST NUCES Islamabad, Pakistan
Public repository for my undergrad cognitive psychology thesis on the "inner voice"
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