SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting

ArXi:2605.12992v1 Announce Type: cross Neural population models, which predict the joint firing of many simultaneously recorded neurons forward in time, are typically evaluated by a single aggregate Pearson correlation $r$ between predicted and actual spike counts, a number that masks critical structure. We argue that how we evaluate spike forecasting matters as much as what we build, and