Hyperacuity Bayesian methods to enhance temporal resolution of two-photon recording of the complex spikes in the cerebellar Purkinje cells

Huu Hoang; Masa-aki Sato; Mitsuo Kawato; Keisuke Toyama; Joseph R Madsen; Orrin Devinsky; Werner Doyle; Daniel Fabo; Sydney S Cash; Eric Halgren

doi:10.1101/220350

bioRxiv · 10.1101/220350

Hyperacuity Bayesian methods to enhance temporal resolution of two-photon recording of the complex spikes in the cerebellar Purkinje cells

Huu Hoang·Masa-aki Sato·Mitsuo Kawato·Keisuke Toyama·Joseph R Madsen·Orrin Devinsky·Werner Doyle·Daniel Fabo·Sydney S Cash·Eric Halgren

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Abstract

Two-photon imaging is a major recording technique in neuroscience but its low sampling rate imposes a severe limit of elucidating high temporal profiles of neuronal dynamics. Here we developed two hyperacuity Bayesian algorithms to improve spike detection and spike time precision, minimizing the estimation error supervised by the ground-truth given as the electrical spike signals. The benchmark showed that our algorithms outperformed other unsupervised algorithms maximizing the likelihood of the estimates for both experimental and simulation data. We argue that the supervised algorithms are useful tools to improve spike estimation of two-photon recording in case ground truth signals are available.

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Huu Hoang, Masa-aki Sato, Mitsuo Kawato, Keisuke Toyama, Joseph R Madsen, Orrin Devinsky, Werner Doyle, Daniel Fabo, Sydney S Cash, Eric Halgren. 2017-11-16. Hyperacuity Bayesian methods to enhance temporal resolution of two-photon recording of the complex spikes in the cerebellar Purkinje cells. https://doi.org/10.1101/220350

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