A synthetic likelihood solution to the silent synapse estimation problem
Michael B. Lynn, Kevin F. H. Lee, Cary Soares, Richard Naud, Jean-Claude Béïque
The paper develops a synthetic likelihood method to estimate silent synapse fractions, showing it reduces bias and improves statistical power compared to existing methods.
Cell Reports · Jul 1, 2020Peer-reviewedNeuroscience