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A novel machine learning-based approach for the detection and analysis of spontaneous synaptic currents
Author(s) -
Thomas Pircher,
Bianca Pircher,
Andreas Feigenspan
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0273501
Subject(s) - excitatory postsynaptic potential , neuroscience , postsynaptic potential , computer science , artificial intelligence , artificial neural network , neurotransmitter , postsynaptic current , machine learning , neurotransmission , biology , central nervous system , inhibitory postsynaptic potential , biochemistry , receptor

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