98 citations · 139 across the 9 of their papers we have counts for
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stat.ML2020★ 5 cited
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…
stat.ML2020★ 4 cited
Non-parametric generalized linear model
Matthew Dowling, Yuan Zhao, Il Memming Park
A fundamental problem in statistical neuroscience is to model how neurons encode information by analyzing electrophysiological recordings. A popular and widely-used approach is to…