Matthias H. Hennig
Orcid: 0000-0001-7270-5817Affiliations:
- University of Edinburgh, Institute for Adaptive and Neural Computation, UK
According to our database1,
Matthias H. Hennig
authored at least 20 papers
between 2001 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
On csauthors.net:
Bibliography
2022
Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation.
Proceedings of the International Conference on Machine Learning, 2022
2021
The information theory of developmental pruning: Optimizing global network architectures using local synaptic rules.
PLoS Comput. Biol., 2021
Building population models for large-scale neural recordings: opportunities and pitfalls.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
2019
Neural field models for latent state inference: Application to large-scale neuronal recordings.
PLoS Comput. Biol., 2019
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2016
PLoS Comput. Biol., 2016
2015
A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks.
PLoS Comput. Biol., 2015
Spike Detection for Large Neural Populations Using High Density Multielectrode Arrays.
Frontiers Neuroinformatics, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
2013
Frontiers Comput. Neurosci., 2013
2009
2007
Neurocomputing, 2007
Effects of fixational eye movements on retinal ganglion cell responses: a modelling study.
Frontiers Comput. Neurosci., 2007
2003
Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
2002
Stochastic resonance in visual cortical neurons: does the eye-tremor actually improve visual acuity?
Neurocomputing, 2002
2001