Andrey Sobolev

Dr. Andrey Sobolev is a PostDoc researcher at the Faculty of Biology, Ludwig Maximilian University of Munich, affiliated with the Benedikt Grothe Research Group. His work focuses on neurophysiological data management, electrophysiological data handling, and neural systems analysis. Key contributions include developing the Neo Python library for electrophysiology data handling and the G-Node Python Client for reproducible research workflows.

Research interests span computational neuroscience, data management systems, and behavioral paradigms in freely moving animals. Notable publications include studies on hippocampal ensemble remapping under sensory conflicts (2021), the Sensory Island Task behavioral paradigm (2020), and metadata standards in neurophysiology (2016).

Technical contributions include creating integrated platforms for electrophysiological data storage (2014) and foundational database systems for biomedical applications (2011). Collaborates widely with neuroscientists and software engineers to advance open science practices in neuroscience research.