Matthias Hennig

Matthias Hennig holds the Personal Chair of Computational Neuroscience at The University of Edinburgh's Department of Computer Science. His research focuses on computational neuroscience, though specific details are not provided. He is affiliated with the university and can be contacted via email at m.hennig@ed.ac.uk. His professional profile is available at https://www.ed.ac.uk/Matthias_Hennig.html.

Matthias Hennig is a computational neuroscientist at the University of Edinburgh, focusing on the development and application of computational models to understand neural systems. His research spans spike sorting, synaptic plasticity, and neural population dynamics, with an emphasis on high-density multielectrode recordings and unsupervised methods. Hennig's work explores how ionic mechanisms and synaptic strength influence auditory processing and retinal network activity, including the role of retinal waves and ganglion cell behavior. He also investigates stochastic resonance, neural dynamical modeling, and the impact of metabolic constraints on synaptic transmission. His contributions include the development of SpikeInterface, a framework for spike sorting, and studies on how neural networks operate near critical state transitions.