3 papers
cs.LG2026
Learning Long-Range Dependencies with Temporal Predictive Coding
Tom Potter, Oliver Rhodes
Temporal Predictive Coding provides a layer-local, parallelisable mechanism for learning in recurrent systems, making it an attractive candidate for online local learning on neurom…
cs.LG2025
Predicting Price Movements in High-Frequency Financial Data with Spiking Neural Networks
Brian Ezinwoke, Oliver Rhodes
Modern high-frequency trading (HFT) environments are characterized by sudden price spikes that present both risk and opportunity, but conventional financial models often fail to ca…
cs.NE2025
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems
Prithvish V Nembhani, Oliver Rhodes, Guangzhi Tang +10
This paper introduces SENMap, a mapping and synthesis tool for scalable, energy-efficient neuromorphic computing architecture frameworks. SENECA is a flexible architectural design…