3 papers
cs.NE2025
Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity
Willian Soares Girão, Nicoletta Risi, Elisabetta Chicca
Understanding how biological neural networks are shaped via local plasticity mechanisms can lead to energy-efficient and self-adaptive information processing systems, which promise…
eess.SP2025
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…
cs.NE2024
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…