Browse All Terms

widely used spatial filtering algorithm, especially in motor imagery BCIs. It is designed to find optimal projections of the EEG data to maximize the variance between two different mental tasks (e.g., imagining left vs. right-hand movement).

A BCI system that incorporates brain activities from multiple tasks where sets of users compete with each other, with the system determining the winner based on the quality or speed of each party's neural signals.

Percentage of experimental instructions or tasks correctly completed by subjects, indicating protocol adherence.

A distinguishable and separable neural signal source or pattern identified within the raw neural

Ensuring participants have the right and mechanism to withdraw consent at any stage of research or application.

Real-time feedback presented constantly during an ongoing BCI control or training session for ongoing error correction.

Group of subjects not receiving the primary experimental manipulation, serving for comparison to assess effects.

A deep learning model effective at detecting spatial structures within EEG or neuroimaging data.

Technique ensuring all possible orders of experimental conditions are tested to control for order effects.

A common challenge in BCI where the statistical properties of brain signals change over time (due to fatigue, electrode movement, etc.), which can degrade the performance of a pre-trained classifier.

Experimental design where subjects receive multiple interventions in a random sequence with washout periods.

A statistical method to evaluate model performance across different subsets of brain data.

Statistical method to assess how well a predictive model will generalize to new, unseen neural data.

Controlled visual or auditory prompt initiating a mental or motor response.

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.