Matthias H. Hennig

Publication Activity (10 Years)

Years Active: 2001-2022
Publications (10 Years): 12

Top Topics

Synaptic Weights

Temporal Sequences

Theoretical Models

Top Venues

PLoS Comput. Biol.

Frontiers Comput. Neurosci.

Publications

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)
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)
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 (2022)
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 (2022)
Cole L. Hurwitz, Nina Kudryashova, Arno Onken, Matthias H. Hennig
Building population models for large-scale neural recordings: opportunities and pitfalls. CoRR (2021)
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)
Cole L. Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
Targeted Neural Dynamical Modeling. NeurIPS (2021)
Michael Everett Rule, Martino Sorbaro, Matthias H. Hennig
Optimal Encoding in Stochastic Latent-Variable Models. Entropy 22 (7) (2020)
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)
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 (2019)
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)
Philip J. Tully, Henrik Lindén, Matthias H. Hennig, Anders Lansner
Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. PLoS Comput. Biol. 12 (5) (2016)
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)
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 (2014)
Matthias H. Hennig
Theoretical models of synaptic short term plasticity. Frontiers Comput. Neurosci. 7 (2013)
Matthias H. Hennig
Theoretical models of synaptic short term plasticity. Frontiers Comput. Neurosci. 7 (2013)
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) (2009)
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) (2007)
Matthias H. Hennig, Florentin Wörgötter
Effects of fixational eye movements on retinal ganglion cell responses: a modelling study. Frontiers Comput. Neurosci. 1 (2007)
Matthias H. Hennig, Florentin Wörgötter
Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina. NIPS (2003)
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 (2002)
Matthias H. Hennig, Klaus Funke
A biophysically realistic simulation of the vertebrate retina. Neurocomputing (2001)