Browse All Terms

Removing or masking personal identifiers from datasets to protect privacy.

Generating synthetic neural samples to balance datasets or improve training stability.

A principle allowing users to securely transfer their neural data between platforms or service providers.

The responsible management and protection of user data throughout its entire lifecycle.

An invasive neuromodulation technique that involves the surgical implantation of an electrode deep within the brain to deliver continuous or intermittent electrical pulses.[88] DBS is primarily used to treat movement disorders, such as Parkinson's disease, by regulating the pathological neural activity in deep brain structures like the basal ganglia.[88, 89]

Multi-layered neural networks capable of automatically extracting complex spatio-temporal features from EEG or fMRI data.

Multilayer network mapping complex neural patterns to behavioral outputs.

Techniques used specifically to reduce background noise in neural data and improve signal quality.

A BCI system that uses brain signals that depend on muscle activity (such as eye movements or facial muscles) to generate the necessary signals for control.

A method for assessing long-range temporal correlations and self-similarity in non-stationary EEG signals.

3D imaging of brain activity using near-infrared light and advanced reconstruction algorithms.

Simplifying neural data while preserving essential information (e.g., using PCA or t-SNE).

Modern electrodes designed to function without conductive gel, making direct contact with the scalp. They offer significantly faster and cleaner setup, a high priority for practical and consumer BCI systems, though they can present challenges in comfort and signal stability.[35, 36]

The potential for neurotechnologies to be used for either beneficial or harmful purposes, intentionally or otherwise.

Adjustment of stimulation frequency parameters in real-time to modulate user perception or control outcomes.