Papers
1–3 of 3Research Paper·Feb 20, 2026
HiAER-Spike Software-Hardware Reconfigurable Platform for Event-Driven Neuromorphic Computing at Scale
In this work, we present HiAER-Spike, a modular, reconfigurable, event-driven neuromorphic computing platform designed to execute large spiking neural networks with up to 160 million neurons and 40 bi...
4.0 viability
Research Paper·Mar 10, 2026
DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Data
Spatiotemporal information is at the core of diverse sensory processing and computational tasks. Feed-forward spiking neural networks can be used to solve these tasks while offering potential benefits...
4.0 viability
Research Paper·Mar 10, 2026
Intrinsic Numerical Robustness and Fault Tolerance in a Neuromorphic Algorithm for Scientific Computing
The potential for neuromorphic computing to provide intrinsic fault tolerance has long been speculated, but the brain's robustness in neuromorphic applications has yet to be demonstrated. Here, we sho...
3.0 viability