659 citations · 659 across the 1 of their papers we have counts for
10 papers
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 bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems
Ning Qiao, Giacomo Indiveri
Neuromorphic systems typically use the Address-Event Representation (AER) to transmit signals among nodes, cores, and chips. Communication of Address-Events (AEs) between neuromorp…