Rescuing neural spike train models from bad MLE

Diego M. Arribas, Yuan Zhao, Il Memming Park

The standard approach to fitting an autoregressive spike train model is to maximize the likelihood for one-step prediction. This maximum likelihood estimation (MLE) often leads to…