@inproceedings{863fae6ab5b4416bba40f5c9a2542794,
title = "Probabilistic Computing for Sustainable Edge Devices Using Organic Electronics",
abstract = "A novel approach to stochastic computing using organic electronics is described. The circuits employ neuromorphic elements to realize a reduced hardware and a low power implementation. The targeted application is for monitoring and analyzing real-time electrophysiological data.",
keywords = "EEG, brain-inspired circuits, health monitoring, organic electronics, organic transistors, stochastic computing, time encoding",
author = "Calvet, \{Laurie E.\} and \{Valentino El-Nakouzi\}, Sami and Yvan Bonnassieux and Benjamin Iniguez and Esma Ismailova and Lina Kadura and Hans Kleemann and Luis Montesano",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 38th IEEE International System-on-Chip Conference, SOCC 2025 ; Conference date: 29-09-2025 Through 01-10-2025",
year = "2025",
month = jan,
day = "1",
doi = "10.1109/SOCC66126.2025.11235470",
language = "English",
series = "International System on Chip Conference",
publisher = "IEEE Computer Society",
editor = "Danella Zhao and Klaus Hofmann",
booktitle = "Proceedings - 2025 IEEE 38th International System-on-Chip Conference, SOCC 2025",
}