Topic: PyQt5

Electrophysiological experiments include metadata, behavioral data, and neural recordings, requiring precise methods to synchronize the different sources. In addition, analysis often involves complex mathematical functions that cannot be applied by non-experts. The massive amount of data generated by long recordings and hundreds of electrode sites adds to the complexity and highlights the need for a workflow that enables standardized and large-scale data analysis.To address these challenges, we developed a Python-based workflow with a graphical user interface using PyQt5. It uses a modular fra