A novel machine learning-based approach for the detection and analysis of spontaneous synaptic currents

HIGHLIGHTS

• who: Thomas Pircher and collaborators from the Institute of Process Machinery and Systems Engineering, Friedrich-Alexander University ErlangenNuremberg, Erlangen, Germany, Department of Biology, Animal Physiology, Friedrich-Alexander University have published the research: A novel machine learning-based approach for the detection and analysis of spontaneous synaptic currents, in the Journal: PLOS ONE of 25/Nov/2021
• what: To overcome the potentially error-prone subjective identification of synaptic events, the authors aimed at developing novel approaches for an automated data_analysis. The authors compare novel event-detecting algorithms with already existing methods.

SUMMARY

 



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