A novel machine learning-based approach for the detection and analysis of spontaneous synaptic currents
Spontaneous synaptic activity is a hallmark of biological neural networks. A thorough description of these synaptic signals is essential for understanding neurotransmitter release and the generation of a postsynaptic response. However, the complexity of synaptic current trajectories has either precl...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484683/?tool=EBI |
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A novel machine learning-based approach for the detection and analysis of spontaneous synaptic currents.
Published 2022-01-01
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