Matthias H. Hennig

发表

Effects of Fixational Eye Movements on Retinal Ganglion Cell Responses: A Modelling Study

Florentin Wörgötter, Matthias H. Hennig, Matthias H Hennig, 2007, Frontiers Comput. Neurosci..

Retinal Waves, Models of

Matthias H. Hennig, 2014, Encyclopedia of Computational Neuroscience.

Stochastic resonance in visual cortical neurons: does the eye-tremor actually improve visual acuity?

Florentin Wörgötter, Matthias H. Hennig, Nicolas J. Kerscher, 2002, Neurocomputing.

Algorithms for automatic neuron tracing in noisy 3D image stacks

Matthias H. Hennig, David C. Sterratt, Thomas Larkworthy, 2010 .

Neural field models for latent state inference: Application to large-scale neuronal recordings

Guido Sanguinetti, Matthias H. Hennig, Michael E Rule, 2019, bioRxiv.

Modelling homeostatic control of intrinsic excitability in single neurons

Matthias H. Hennig, Jeanette Hellgren-Kotaleski, Yann Sweeney, 2012 .

Unsupervised spike sorting for large scale, high density multielectrode arrays

Luca Berdondini, Alessandro Maccione, Diego Sona, 2016 .

Spike-Based Bayesian-Hebbian Learning of Temporal Sequences

Anders Lansner, Matthias H. Hennig, Henrik Lindén, 2016, PLoS Comput. Biol..

The Role of Non-Linearities in Visual Perception studied with a Computational Model of the Vertebrate Retina

Matthias H. Hennig, Matthias H Hennig, 2006 .

Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina

Florentin Wörgötter, Matthias H. Hennig, Matthias H Hennig, 2003, NIPS.

Author response: SpikeInterface, a unified framework for spike sorting

Matthias H. Hennig, Jeremy F. Magland, Alessio Paolo Buccino, 2020 .

Theoretical models of synaptic short term plasticity

Matthias H. Hennig, Matthias H Hennig, 2013, Front. Comput. Neurosci..

Statistical Models of Neural Activity, Criticality, and Zipf’s Law

J. Michael Herrmann, Matthias H. Hennig, J. M. Herrmann, 2018, Springer Series on Bio- and Neurosystems.

Spike Detection for Large Neural Populations Using High Density Multielectrode Arrays

Luca Berdondini, Hayder Amin, Alessandro Maccione, 2015, Front. Neuroinform..

SpikeInterface, a unified framework for spike sorting

Matthias H. Hennig, Joshua H. Siegle, Samuel Garcia, 2019, bioRxiv.

Synaptic and nonsynaptic plasticity approximating probabilistic inference

Anders Lansner, Matthias H. Hennig, Philip J. Tully, 2014, Front. Synaptic Neurosci..

A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks

Jeanette Kotaleski, Matthias H. Hennig, Yann Sweeney, 2015, bioRxiv.

Hippocampal representations emerge when training recurrent neural networks on a memory dependent maze navigation task.

Matthias H. Hennig, Justin Jude, 2020 .

Changing dynamics of spontaneous waves during retinal development: a novel panretinal perspective achieved with the Active Pixel Sensor (APS) 4,096 electrodes array

Alessandro Maccione, Matthias H. Hennig, Stephen J. Eglen, 2010 .

A biophysically realistic simulation of the vertebrate retina

Matthias H. Hennig, Klaus Funke, 2001, Neurocomputing.

Ionotropic Receptors Dynamics, Conductance Models

Matthias H. Hennig, 2014, Encyclopedia of Computational Neuroscience.

Dense movement with embedded sparse action-type representations in the output layer of motor cortex

Matthias H. Hennig, Aldo A. Faisal, Matthias H Hennig, 2020, bioRxiv.

Wide-Band Information Transmission at the Calyx of Held

Zhijun Yang, Matthias H. Hennig, Bruce P. Graham, 2009, Neural Computation.

Following The Assembly Of Functional Circuitry: High Resolution Large-Scale Population Neuronal Dynamics In The Neonatal Mouse Retina In Health And Disease

Matthias H. Hennig, Stephen J. Eglen, Evelyne Sernagor, 2012 .

Advances in Neural Information Processing Systems 16 (NIPS 2003)

Florentin Wörgötter, Matthias H. Hennig, Matthias H Hennig, 2004 .

A biophysical model of short-term plasticity at the calyx of Held

Matthias H. Hennig, Bruce P. Graham, Ian D. Forsythe, 2007, Neurocomputing.

Building population models for large-scale neural recordings: Opportunities and pitfalls

Matthias H. Hennig, Arno Onken, Nina Kudryashova, 2021, Current Opinion in Neurobiology.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

Pan-retinal characterisation of Light Responses from Ganglion Cells in the Developing Mouse Retina

Pierre Kornprobst, Bruno Cessac, Matthias H. Hennig, 2017, Scientific reports.