1.1k citations · 4.6k across the 68 of their papers we have counts for
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A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems
Elisabetta Chicca, Giacomo Indiveri
The development of memristive device technologies has reached a level of maturity to enable the design of complex and large-scale hybrid memristive-CMOS neural processing systems.…
Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor
Felix Christian Bauer, Dylan Richard Muir, Giacomo Indiveri
Accurate detection of pathological conditions in human subjects can be achieved through off-line analysis of recorded biological signals such as electrocardiograms (ECGs). However,…
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors
Llewyn Salt, David Howard, Giacomo Indiveri +1
The Lobula Giant Movement Detector (LGMD) is an identified neuron of the locust that detects looming objects and triggers the insect's escape responses. Understanding the neural pr…
Mapping Spiking Neural Networks to Neuromorphic Hardware
Adarsha Balaji, Anup Das, Yuefeng Wu +7
Neuromorphic hardware platforms implement biological neurons and synapses to execute spiking neural networks (SNNs) in an energy-efficient manner. We present SpiNeMap, a design met…
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…