PiEEG
At the forefront of PiEEG’s development stands a team of multidisciplinary researchers, whose expertise spans the crucial intersections of hardware engineering, machine learning, and neuroscience. The contributions to the scientific community are exemplified by the authorship of multiple groundbreaking papers on BCIs, which have significantly advanced our understanding of hardware for neural interfaces and their applications. The commitment to open science is evident in the creation of open-source versions of many neuroscience inventions, fostering collaboration and accelerating progress in the field. As a collective of hardware and software engineers, the PiEEG team brings a unique blend of skills to the project. Furthermore, proficiency in developing machine learning algorithms for EEG classification enables PiEEG to offer advanced signal analysis capabilities, pushing the boundaries of what’s possible in portable, accessible BCI technology.
Tech Stack (11 technologies)
Frequently Asked Questions
What technologies does PiEEG use?+
PiEEG uses 11 technologies including Google Analytics, Google Tag Manager, Next.js.
What industry is PiEEG in?+
PiEEG operates in the Neuroscience industry.
Where is PiEEG based?+
PiEEG is headquartered in United Kingdom.
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