2 papers
q-bio.NC2026
URCHIN: A Horizontal Spiking Language Model for Data-Constrained Pretraining
Po-Han Chiang
The BabyLM challenge measures how much language a model can learn from developmentally-plausible, child-scale data rather than internet-scale corpora, yet prior language models for…
q-bio.NC2026
Parallelized Hierarchical Connectome: A Spatiotemporal Recurrent Framework for Spiking State-Space Models
Po-Han Chiang
This work presents the Parallelized Hierarchical Connectome (PHC), a general architectural framework that upgrades temporal-only State-Space Models (SSMs) into spatiotemporal recur…