3 papers
cs.AI2026
A Neuromorphic Architecture for Scalable Event-Based Control
Yongkang Huo, Fulvio Forni, Rodolphe Sepulchre
This paper introduces the ``rebound Winner-Take-All (RWTA)" motif as the basic element of a scalable neuromorphic control architecture. From the cellular level to the system level,…
eess.SY2025
Kernel Modelling of Fading Memory Systems
Yongkang Huo, Thomas Chaffey, Rodolphe Sepulchre
The paper is a follow-up of the recently introduced kernel-based framework to identify nonlinear input-output systems regularized by desirable input-output incremental properties.…
eess.SY2025
A Winner-Takes-All Mechanism for Event Generation
Yongkang Huo, Fuvio Forni, Rodolphe Sepulchre
We present a novel framework for central pattern generator design that leverages the intrinsic rebound excitability of neurons in combination with winner-takes-all computation. Our…