2 papers
cs.LG2026
Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects
William E. Bishop, Luuk W. Hesselink, Bernhard Englitz +2
Many disciplines need quantitative models that synthesize experimental data across multiple instances of the same general system. For example, neuroscientists must combine data fro…
q-bio.NC2025
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish
Jan-Matthis Lueckmann, Alexander Immer, Alex Bo-Yuan Chen +15
Data-driven benchmarks have led to significant progress in key scientific modeling domains including weather and structural biology. Here, we introduce the Zebrafish Activity Predi…