NEUROBOX: An Open-Source Suite for the Flow Control of EEG Experiments

Electroencephalography (EEG) enables an understanding of brain functioning through the recording of its electrical signals. However, the components necessary for generating temporal marks, crucial for accurately timestamping when a subject receives a stimulus, are typically costly.This paper presents the development of a prototype designed for conducting EEG experiments while providing stimulus marks. The prototype is capable of receiving visual and auditory stimuli and offers haptic interaction through a switch button. It combines these signals into a unified stream, which is then transmitted to the EEG equipment.The processing hardware relies on the Very High-Speed Integrated Circuit Hardware Description Language (VHDL), implemented on Field Programmable Gate Arrays (FPGA). A test bench, utilizing PsychoPy in Python, was created to assess the prototype’s performance. The flexibility of the prototype allows researchers to fine-tune its settings, offering a cost-effective solution to the research community for conducting EEG experiments with heightened confidence in temporal analysis.