Research output per year
Research output per year
Personal profile
Research Interests
Computational neuroscience and analysis of neurophysiological data.
Specifically, our work is currently in the following areas:
* Function, plasticity and homeostasis at the sub-cellular and
cellular levels
* Stability and function in networks of neurons
* Analysis of high-density multielectrode recordings
Qualifications
| 2001-2005 | PhD in Computational Neuroscience |
| University of Stirling | |
| Thesis Title: The Role of Non-Linearities in Visual Perception studied with a Computational Model of the Vertebrate Retina | |
| 1994-2000 | Ruhr Universitaet Bochum, Germany |
| German Diplom in Physics |
Biography
Dr Hennig employs statistical, computational and mathematical modelling to investigate stability and processing in neuronal circuits. With a background in physics, Dr. Hennig moved into neuroscience during his PhD, investigating models of the vertebrate retina. Supported by a MRC Career Development Award, his group has recently produced algorithms for primary data analysis for extracellular recordings, and has uncovered principles of circuit-remodelling in chronic recordings from large neuronal networks. Current projects include population coding in the retina, data-driven investigation of cortical circuits in rodent models of neurodevelopmental disorder models, and development of efficient inference methods for large scale neuronal circuit analysis.
Education/Academic qualification
Computational Neuroscience, Doctor of Philosophy (PhD), The Role of Non-Linearities in Visual Perception studied with a Computational Model of the Vertebrate Retina, University of Stirling
Keywords
- RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
- QA75 Electronic computers. Computer science
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
Turishcheva, P., Fahey, P. G., Vystrčilová, M., Hansel, L., Froebe, R., Ponder, K., Qiu, Y., Willeke, K. F., Bashiri, M., Baikulov, R., Zhu, Y., Ma, L., Yu, S., Huang, T., Li, B. M., Wulf, W. D., Kudryashova, N., Hennig, M. H., Rochefort, N. L., Onken, A., & 5 others, 12 Jul 2024, ArXiv.Research output: Working paper › Preprint
File -
The sloppy relationship between neural circuit structure and function
Hennig, M. H., 1 Aug 2023, In: The Journal of Physiology. 601, 15, p. 3025-3035 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Ctrl-TNDM: Decoding feedback-driven movement corrections from motor cortex neurons
Kudryashova, N., Perich, M. G., Miller, L. E. & Hennig, M. H., 10 Mar 2023. 1 p.Research output: Contribution to conference › Poster › peer-review
File -
Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles
Jude, J., Perich, M. G., Miller, L. E. & Hennig, M. H., 1 Mar 2023, Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations. Sanborn, S., Shewmake, C., Azeglio, S., Di Bernardo, A. & Miolane, N. (eds.). PMLR, Vol. 197. p. 234-257 24 p. (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
Jude, J., Perich, M., Miller, L. & Hennig, M., 28 Jun 2022, Proceedings of the 39th International Conference on Machine Learning. Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). PMLR, Vol. 162. p. 10462-10475 14 p. (Proceedings of Machine Learning Research; vol. 162).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile
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closeNIT - Large Scale Stimulation Assays for Closed-Loop Optimal Control of Neural Populations
1/06/24 → 31/05/25
Project: Research
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Enhancing automated, reproducible analysis workflows and data curation for extracellular neural recordings with SpikeInterface
Hennig, M., Nolan, M. & Nolan, M.
24/10/23 → 31/10/26
Project: Research
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Enhancing reproducibility and validation of automated spike sorting workflows
1/01/19 → 31/12/19
Project: Research
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Large scale spatio-temporal point processes: novel machine learning methodologiesand application to neural multi-electrode arrays.
Sanguinetti, G. & Hennig, M.
1/11/14 → 31/07/18
Project: Research
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Balancing resource and energy usage for optimal performance in a neural system
1/10/13 → 30/09/16
Project: Research
Datasets
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High density multielectrode array recordings from the neonatal mouse retina
Hennig, M. (Creator), University of Edinburgh, 2013
Dataset
Press/Media
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Dr Matthias Hennig and Dr James Bednar raise concerns over leadership of Human Brain Project
Matthias Hennig & James Bednar
9/07/14
1 item of Media coverage
Press/Media: Expert Comment