معرفی
Matthias H. Hennig is a Professor of Computational Neuroscience at the University of Edinburgh, School of Informatics, Institute for Adaptive and Neural Computation. He leads the Hennig Lab, which focuses on the intersection of neuroscience and computational methods.
His research spans three main areas:
- Development of tools for analysis of large-scale neural recordings, including the SpikeInterface project and Herding Spikes software
- Modeling neural population activity using data-driven approaches like Targeted Neural Dynamical Modeling
- Studying retinal development and function, particularly spontaneous network activity patterns like retinal waves
The lab has produced significant methodological contributions to neural data analysis, with software tools used internationally. Recent publications (2019-2022) show consistent output in high-impact journals across computational neuroscience, neural data analysis methods, and biological studies of neural circuits. The research demonstrates a strong focus on developing reproducible analysis pipelines for next-generation electrophysiology data.
Professor Hennig currently supervises six PhD students across multiple CDT programs and has an impressive track record of student placements in both academic and industry positions. His international collaborations span institutions in Europe, North America, and India, reflecting the global impact of his work.
