Supervised learning sets benchmark for robust spike rate inference from calcium imaging signals
Lucas Theis, Philipp Berens, Emmanouil Froudarakis, Jacob Reimer, Miroslav Roman-Roson, Thomas Baden, Thomas Euler, Andreas S Tolias, Matthias Bethge
The paper benchmarks spike rate inference algorithms using calcium imaging data and introduces a supervised learning method that outperforms existing techniques across diverse datasets.
bioRxiv · Aug 3, 2015Neuroscience