8 papers
Types of Bursting with a Two-Block Spiking Primitive
Arthur Fyon, Julien Brandoit, Loris Mendolia +5
Excitable spikers are attractive systems for sparse, event-driven computation. A spiking primitive composed of a linear frequency selector closed in positive feedback around a high…
Excitability of High-Frequency Positive Feedback
Gustave Bainier, Arthur Fyon, Christian Fernandez Lorden +1
What is the threshold of an excitable system, i.e. the criterion that distinguishes rest from excitation? Previous research has shown that this question is far from trivial to answ…
A Fully Tunable Ultra-Low Power Current-Mode Memory Cell in Standard CMOS Technology
Arthur Fyon, Loris Mendolia, Jean-Michel Redouté +2
This work introduces a fully tunable, ultra-low power unipolar memory cell inspired by the Schmitt-trigger comparator and designed in CMOS using only nine transistors. The proposed…
Neuromodulation supports robust rhythmic pattern transitions in degenerate central pattern generators with fixed connectivity
Arthur Fyon, Alessio Franci, Pierre Sacré +1
Many essential biological functions, such as breathing and locomotion, rely on the coordination of robust and adaptable rhythmic patterns, governed by specific network architecture…
State-space fading memory
Gustave Bainier, Antoine Chaillet, Rodolphe Sepulchre +1
The fading-memory (FM) property captures the progressive loss of influence of past inputs on a system's current output and has originally been formalized by Boyd and Chua in an ope…
A Neuromodulable Current-Mode Silicon Neuron for Robust and Adaptive Neuromorphic Systems
Loris Mendolia, Chenxi Wen, Elisabetta Chicca +4
Neuromorphic engineering makes use of mixed-signal analog and digital circuits to directly emulate the computational principles of biological brains. Such electronic systems offer…
Formalizing Neuromorphic Control Systems: A General Proposal and A Rhythmic Case Study
Taisia Medvedeva, Alessio Franci, Fernando Castaños
Neuromorphic control is receiving growing attention due to the multifaceted advantages it brings over more classical control approaches, including: sparse and on-demand sensing, in…
Waves and symbols in neuromorphic hardware: from analog signal processing to digital computing on the same computational substrate
Dmitrii Zendrikov, Alessio Franci, Giacomo Indiveri
Neural systems use the same underlying computational substrate to carry out analog filtering and signal processing operations, as well as discrete symbol manipulation and digital c…