Browse All Terms

Fluorescence-based method monitoring neuronal activity via calcium ion concentration changes.

Initial data recording used to train algorithms and align user-system parameters.

Non-contact EEG method utilizing capacitive sensors, enhancing user comfort and ease of setup.

The pathway through which the brain signal is collected, transmitted, and processed

A machine learning algorithm that learns to assign a label (e.g., move left or select letter B) to a pattern of neural activity. Common examples include

An auditory evoked potential in response to a click stimulus, which is a brief, sharp sound used in auditory testing.

A study involving multiple subjects that assesses the efficacy of a proposed intervention

A specific time period during which a subject receives an intervention or undergoes an assessment or both.

A characteristic of a system whose control action is dependent on the output of the task and its deviation from a reference or ideal state.

The amount of mental effort and concentration required from the user to operate the BCI. A primary goal of BCI design is to minimize this load.

Protecting neural data from cyberattacks, manipulation, or information leaks.

a BCI system that combines brain signals from several people in order to perfrom a task.

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.