Publications
Scientific Contributions
Our contributions are a reflection of our commitment to the scientific community. Check out our selected work below.
Memristive dynamical spiking neural networks with spatiotemporal heterogeneity
2025A fully memristive spiking neural network with spatiotemporal heterogeneity: each neuron has a distinct, input-adaptive time constant, enabling end-to-end BPTT training without ADCs or comparators, and providing strong robustness to RRAM stuck-at faults.
Spiking Neural Networks Memristive Systems Spatiotemporal Dynamics
A Brain-Inspired Hardware Architecture for Evolutionary Algorithms Based on Memristive Arrays
2023A fully memristive spiking neural network with spatiotemporal heterogeneity: each neuron has a distinct, input-adaptive time constant, enabling end-to-end BPTT training without ADCs or comparators, and providing strong robustness to RRAM stuck-at faults.
Evolutionary Memristive Systems Brain-Inspired