Modern machine learning outperforms GLMs at predicting spikes
Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Christopher Versteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad Paul Kording
This study compares GLMs to machine learning methods for predicting neural spikes and finds that modern methods like XGBoost and ensembles are more accurate and robust.
Frontiers in Computational Neuroscience · Jul 19, 2018Peer-reviewedNeuroscience