HP-GSBS: Accelerating greedy state boundary search with reusable interval statistics
HP-GSBS is an open-source, mathematically reformulated implementation that dramatically accelerates Greedy State Boundary Search for neural activity analysis by leveraging reusable interval statistics and multi-backend execution, achieving speedups of up to 1,730x while maintaining numerical precision and reproducibility.