Brain-computer Interfacing (BCI) research focuses on creating direct communication pathways between the human…

By Sabrina Soltana

Brain-computer Interfacing (BCI) research focuses on creating direct communication pathways between the human brain and external devices by recording, translating, and decoding neural electrical signals. Rresearch in this field extends to

1) Implanting microelectrode arrays and machine learning algorithms to translate neural signals from the motor cortex into words, speech phonemes, or computer cursor movements for paralyzed patients.

2) Innovations like the flexible Biological Interface System to Cortex (BISC) integrate thousands of electrodes and wireless electronics onto small sub-cranial chips to reduce surgical risks.

3) Non-intrusive EEG setups to monitor cognitive load, attention, and emotions in everyday populations.

4)Research expands into neurological diagnostics, pain management monitoring, closed-loop neurostimulation for conditions like epilepsy and Parkinson's disease, and sensory restoration.

EEG processing is the critical engine of non-invasive BCI systems, serving as the translator that turns raw, noisy brainwaves into actionable digital commands. Because electroencephalography (EEG) records electrical activity from the scalp, the signals are incredibly faint and highly distorted by the time they reach the sensors. Without advanced signal processing, an EEG-based BCI cannot function.

I am launching my lab Cognitive EEG and GenAI, where I will be working with EEG signal processing using deep learning and generative AI. Here is the roadmap of the lab.