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ORCIDMatthias H. Hennig
Person information
- affiliation: University of Edinburgh, Institute for Adaptive and Neural Computation, UK
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Journal Articles
- 2021
[j13]Carolin Scholl
, Michael Everett Rule, Matthias H. Hennig:
The information theory of developmental pruning: Optimizing global network architectures using local synaptic rules. PLoS Comput. Biol. 17(10) (2021)- 2020
- [j12]Michael Everett Rule, Martino Sorbaro, Matthias H. Hennig:
Optimal Encoding in Stochastic Latent-Variable Models. Entropy 22(7): 714 (2020) - 2019
- [j11]Michael Everett Rule, David Schnoerr, Matthias H. Hennig, Guido Sanguinetti:
Neural field models for latent state inference: Application to large-scale neuronal recordings. PLoS Comput. Biol. 15(11) (2019) - 2016
- [j10]Philip J. Tully, Henrik Lindén, Matthias H. Hennig, Anders Lansner:
Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. PLoS Comput. Biol. 12(5) (2016) - 2015
- [j9]Jens-Oliver Muthmann, Hayder Amin, Evelyne Sernagor, Alessandro Maccione, Dagmara Panas, Luca Berdondini, Upinder S. Bhalla, Matthias H. Hennig:
Spike Detection for Large Neural Populations Using High Density Multielectrode Arrays. Frontiers Neuroinformatics 9: 28 (2015) - [j8]Yann Sweeney, Jeanette Hellgren Kotaleski, Matthias H. Hennig:
A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks. PLoS Comput. Biol. 11(7) (2015) - 2013
- [j7]Matthias H. Hennig:
Theoretical models of synaptic short term plasticity. Frontiers Comput. Neurosci. 7: 45 (2013) - [j6]Matthias H. Hennig:
Theoretical models of synaptic short term plasticity. Frontiers Comput. Neurosci. 7: 154 (2013) - 2009
- [j5]Zhijun Yang, Matthias H. Hennig, Michael Postlethwaite, Ian D. Forsythe, Bruce P. Graham:
Wide-Band Information Transmission at the Calyx of Held. Neural Comput. 21(4): 991-1017 (2009) - 2007
- [j4]Matthias H. Hennig, Florentin Wörgötter:
Effects of fixational eye movements on retinal ganglion cell responses: a modelling study. Frontiers Comput. Neurosci. 1: 2 (2007) - [j3]Matthias H. Hennig, Michael Postlethwaite, Ian D. Forsythe, Bruce P. Graham:
A biophysical model of short-term plasticity at the calyx of Held. Neurocomputing 70(10-12): 1626-1629 (2007) - 2002
- [j2]Matthias H. Hennig, Nicolas J. Kerscher, Klaus Funke, Florentin Wörgötter:
Stochastic resonance in visual cortical neurons: does the eye-tremor actually improve visual acuity? Neurocomputing 44-46: 115-120 (2002) - 2001
- [j1]Matthias H. Hennig, Klaus Funke:
A biophysically realistic simulation of the vertebrate retina. Neurocomputing 38-40: 659-665 (2001)
Conference and Workshop Papers
- 2022
- [c5]Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig:
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation. ICML 2022: 10462-10475 - [c4]Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig:
Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles. NeurReps 2022: 234-257 - 2021
- [c3]Cole L. Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig:
Targeted Neural Dynamical Modeling. NeurIPS 2021: 29379-29392 - 2019
- [c2]Cole L. Hurwitz, Kai Xu, Akash Srivastava, Alessio Paolo Buccino, Matthias H. Hennig:
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference. NeurIPS 2019: 4726-4738 - 2003
- [c1]Matthias H. Hennig, Florentin Wörgötter:
Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina. NIPS 2003: 1475-1482
Reference Works
- 2014
- [r2]Matthias H. Hennig:
Ionotropic Receptors Dynamics, Conductance Models. Encyclopedia of Computational Neuroscience 2014 - [r1]Matthias H. Hennig:
Retinal Waves, Models of. Encyclopedia of Computational Neuroscience 2014
Informal and Other Publications
- 2022
- [i4]Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig:
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation. CoRR abs/2202.06159 (2022) - [i3]Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig:
Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles. CoRR abs/2205.09829 (2022) - 2021
- [i2]Cole L. Hurwitz, Nina Kudryashova, Arno Onken, Matthias H. Hennig:
Building population models for large-scale neural recordings: opportunities and pitfalls. CoRR abs/2102.01807 (2021) - 2019
- [i1]Cole L. Hurwitz, Kai Xu, Akash Srivastava, Alessio Paolo Buccino, Matthias H. Hennig:
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference. CoRR abs/1905.12375 (2019)
Coauthor Index
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