659 citations · 813 across the 15 of their papers we have counts for
8 papers · 1 filter
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence
Arianna Rubino, Can Livanelioglu, Ning Qiao +2
Recent years have seen an increasing interest in the development of artificial intelligence circuits and systems for edge computing applications. In-memory computing mixed-signal n…
Automatic gain control of ultra-low leakage synaptic scaling homeostatic plasticity circuits
Ning Qiao, Giacomo Indiveri, Chiara Bartolozzi
Homeostatic plasticity is a stabilizing mechanism that allows neural systems to maintain their activity around a functional operating point. This is an extremely useful mechanism f…
Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies
Ning Qiao, Giacomo Inidveri
As processes continue to scale aggressively, the design of deep sub-micron, mixed-signal design is becoming more and more challenging. In this paper we present an analysis of scali…
An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems
Ning Qiao, Giacomo Indiveri
Neuromorphic systems typically employ current-mode circuits that model neural dynamics and produce output currents that range from few pico-Amperes to hundreds of micro-Amperes. On…
Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology
Ning Qiao, Giacomo Indiveri
Developing mixed-signal analog-digital neuromorphic circuits in advanced scaled processes poses significant design challenges. We present compact and energy efficient sub-threshold…
A clock-less ultra-low power bit-serial LVDS link for Address-Event multi-chip systems
Ning Qiao, Giacomo Indiveri
We present a power efficient clock-less fully asynchronous bit-serial Low Voltage Differential Signaling (LVDS) link with event-driven instant wake-up and self-sleep features, opti…
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor
Sebastian Glatz, Julien N. P. Martel, Raphaela Kreiser +2
Neuromorphic computing is a new paradigm for design of both the computing hardware and algorithms inspired by biological neural networks. The event-based nature and the inherent pa…
An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks
Ning Qiao, Chiara Bartolozzi, Giacomo Indiveri
Homeostatic plasticity is a stabilizing mechanism commonly observed in real neural systems that allows neurons to maintain their activity around a functional operating point. This…