Matthias H. Hennig, PhD

Affiliations: 
Institute for Adaptive and Neural Computation University of Edinburgh, Edinburgh, Scotland, United Kingdom 
Area:
computational neuroscience, retina, neural development, homeostasis, synaptic transmission
Website:
http://homepages.inf.ed.ac.uk/mhennig/
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"Matthias Hennig"
Mean distance: 14.42 (cluster 17)
 
SNBCP

Parents

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Florentin Wörgötter grad student 2000-2004
Bruce Graham post-doc 2005-2005 University of Stirling
David Willshaw post-doc 2006-2008 Edinburgh

Children

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Yann Sweeney grad student 2011-2015 Edinburgh
Martino Sorbaro grad student 2014-2018 Edinburgh
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Publications

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Turishcheva P, Fahey PG, Vystrčilová M, et al. (2024) Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos. Arxiv
Pamplona D, Hilgen G, Hennig MH, et al. (2022) Receptive field estimation in large visual neuron assemblies using a super-resolution approach. Journal of Neurophysiology. 127: 1334-1347
Scholl C, Rule ME, Hennig MH. (2021) The information theory of developmental pruning: Optimizing global network architectures using local synaptic rules. Plos Computational Biology. 17: e1009458
Hurwitz C, Kudryashova N, Onken A, et al. (2021) Building population models for large-scale neural recordings: Opportunities and pitfalls. Current Opinion in Neurobiology. 70: 64-73
Rule ME, Sorbaro M, Hennig MH. (2020) Optimal Encoding in Stochastic Latent-Variable Models. Entropy (Basel, Switzerland). 22
Rule ME, Sorbaro M, Hennig MH. (2020) Optimal Encoding in Stochastic Latent-Variable Models Entropy. 22: 714
Rule ME, Schnoerr D, Hennig MH, et al. (2019) Neural field models for latent state inference: Application to large-scale neuronal recordings. Plos Computational Biology. 15: e1007442
Rajaram E, Kaltenbach C, Fischl MJ, et al. (2019) Slow NMDA-mediated excitation accelerates offset-response latencies generated via a post-inhibitory rebound mechanism. Eneuro
Hennig MH, Hurwitz C, Sorbaro M. (2019) Scaling Spike Detection and Sorting for Next-Generation Electrophysiology. Advances in Neurobiology. 22: 171-184
Jouty J, Hilgen G, Sernagor E, et al. (2018) Non-parametric Physiological Classification of Retinal Ganglion Cells in the Mouse Retina. Frontiers in Cellular Neuroscience. 12: 481
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