1 citations · 1 across the 5 of their papers we have counts for
5 papers
A scalable event-driven spatiotemporal feature extraction circuit
Hugh Greatorex, Michele Mastella, Ole Richter +4
Event-driven sensors, which produce data only when there is a change in the input signal, are increasingly used in applications that require low-latency and low-power real-time sen…
Event-based vision for egomotion estimation using precise event timing
Hugh Greatorex, Michele Mastella, Madison Cotteret +2
Egomotion estimation is crucial for applications such as autonomous navigation and robotics, where accurate and real-time motion tracking is required. However, traditional methods…
Fused-MemBrain: a spiking processor combining CMOS and self-assembled memristive networks
Davide Cipollini, Hugh Greatorex, Michele Mastella +2
In an era characterized by the rapid growth of data processing, developing new and efficient data processing technologies has become a priority. We address this by proposing a nove…
TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration
Hugh Greatorex, Ole Richter, Michele Mastella +10
Recent advances in memory technologies, devices and materials have shown great potential for integration into neuromorphic electronic systems. However, a significant gap remains be…
Texture Recognition Using a Biologically Plausible Spiking Phase-Locked Loop Model for Spike Train Frequency Decomposition
Michele Mastella, Tesse Tiemens, Elisabetta Chicca
In this paper, we present a novel spiking neural network model designed to perform frequency decomposition of spike trains. Our model emulates neural microcircuits theorized in the…