PT  - JOURNAL ARTICLE
AU  - Alexandra Corneyllie
AU  - Fabien Perrin
AU  - Lizette Heine
TI  - Sharing an Open Stimulation System for Auditory EEG Experiments Using Python, Raspberry Pi, and HifiBerry
AID  - 10.1523/ENEURO.0524-20.2021
DP  - 2021 Jul 01
TA  - eneuro
PG  - ENEURO.0524-20.2021
VI  - 8
IP  - 4
4099  - http://www.eneuro.org/content/8/4/ENEURO.0524-20.2021.short
4100  - http://www.eneuro.org/content/8/4/ENEURO.0524-20.2021.full
SO  - eNeuro2021 Jul 01; 8
AB  - In auditory behavioral and EEG experiments, the variability of stimulation solutions, for both software and hardware, adds unnecessary technical constraints. Currently, there is no easy to use, inexpensive, and shareable solution that could improve collaborations and data comparisons across different sites and contexts. This article outlines a system composed by a Raspberry Pi coupled with Python programming and associated with a HifiBerry sound card. We compare its sound performances with those of a wide variety of materials and configurations. This solution achieves the high timing accuracy and sound quality important in auditory cognition experiments, while being simple to use and open source. The present system shows high performances and results along with excellent feedback from users. It is inexpensive, easy to build, share, and improve on. Working with such low-cost, powerful, and collaborative hardware and software tools allows people to create their own specific, adapted, and shareable system that can be standardized across different collaborative sites, while being extremely simple and robust in use.