Speaker Prof. Rodolphe Sepulchre
University of Cambridge, United Kingdom & KU Leuven, Belgium
Date｜Time Feb 24 (Tuesday), 2026｜16:00
Zoom https://snu-ac-kr.zoom.us/my/jingyu.lee
Abstract
The internal model principle is a pillar of both control theory and neuroscience. Beyond the principles, it remains unclear how neural circuits can reliably implement any form of predictive coding in complex and changing environments. This talk will explore an event-based architecture as a potential avenue to fill this gap. The novelty of the architecture is twofold: (i) the internal model is an event generator made of excitable neurons and (ii) event synchrony between the controller and the plant occurs through synaptic interaction rather than error feedback. Those two features make the control neuromorphic. I will discuss the potential of neuromorphic control for energy efficiency, robustness, reliability, and scalability.
Biography
Rodolphe Sepulchre is professor of engineering at the KU Leuven (Belgium) since 2023 and at the University of Cambridge (UK) since 2013. He is a fellow of IFAC (2020), IEEE (2009), and SIAM (2015). He received the IEEE CSS Antonio Ruberti Young Researcher Prize in 2008 and the IEEE CSS George S. Axelby Outstanding Paper Award in 2020. He was elected at the Royal Academy of Belgium in 2013. He was Editor-in-Chief of IEEE Control Systems from 2020 to 2024. He is a recipient of two ERC advanced grants (Switchlets (2015-2021) and SpikyControl (2023-2028)). He is the coordinator of the MSCA network “ELEVATE” (2026-2030).
