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.ET2024

Hardware architecture and routing-aware training for optimal memory usage: a case study

Jimmy Weber, Theo Ballet, Melika Payvand

Efficient deployment of neural networks on resource-constrained hardware demands optimal use of on-chip memory. In event-based processors, this is particularly critical for routing…

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…