FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals
Nisal Ranasinghe, Saman Halgamuge(The University of Melbourne), Sachith Seneviratne, Simon Maksour(University of Wollongong), Tamasha Malepathirana(The University of Melbourne), Lezanne Ooi(University of Wollongong), Dzung Do‐Ha(University of Wollongong)
Cited by 0
Related Papers
TRPV3 is a temperature-sensitive vanilloid receptor-like protein
|Nature|2002|851
Chromatin crosstalk in development and disease: lessons from REST
|Nature Reviews Genetics|2007|404
Neuronal hyperexcitability in Alzheimer’s disease: what are the drivers behind this aberrant phenotype?
|Translational Psychiatry|2022|392
The acute nociceptive signals induced by bradykinin in rat sensory neurons are mediated by inhibition of M-type K+ channels and activation of Ca2+-activated Cl– channels
|Journal of Clinical Investigation|2010|291