3 papers
cs.NE2026
Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks
Wilkie Olin-Ammentorp
State-space models (SSMs) provide a powerful theoretical framework to enable parallel training of recurrent networks. We expand on previous work adapting SSMs to spiking models to…
cs.NE2026
More than MACs: Exploring the Role of Neuromorphic Engineering in the Age of LLMs
Wilkie Olin-Ammentorp
The introduction of large language models has significantly expanded global demand for computing; addressing this growing demand requires novel approaches that introduce new capabi…
math.DS2024
Hyperdimensional Computing Provides a Programming Paradigm for Oscillatory Systems
Wilkie Olin-Ammentorp
The increasing difficulty in continued development of digital electronic logic has led to a renewed interest in alternative approaches. Oscillatory computing is one such approach t…