most citedNeuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AR2023

SPAIC: A sub-W/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders

Shyam Narayanan, Matteo Cartiglia, Arianna Rubino +3

Low-power event-based analog front-ends (AFE) are a crucial component required to build efficient end-to-end neuromorphic processing systems for edge computing. Although several ne…

cs.NE2023★ 11 cited

Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks

Arianna Rubino, Matteo Cartiglia, Melika Payvand +1

Mixed-signal neuromorphic systems represent a promising solution for solving extreme-edge computing tasks without relying on external computing resources. Their spiking neural netw…