Stimfit: quantifying electrophysiological data with Python - Guzman, Segundo J.; Schlögl, Alois; Schmidt-Hieber, Christoph (Frontiers in neuroinformatics, 2014)
Keywords: Algorithms; C++; Communication; Data analysis; Electrophysiology; Information processing; Libraries; Neurons; Neurophysiology; Neuroscience; Neurosciences; patch-clamp; python; Signal processing; Synaptic Transmission; University colleges; United Kingdom--UK; Austria; C++; data analysis; electrophysiology; patch-clamp; biosignal data formats; free software; Python