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ORCIDMichael Häusser
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- affiliation: University College London, Wolfson Institute for Biomedical Research
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2010 – 2019
- 2017
[c4]Laurence Aitchison, Lloyd Russell, Adam M. Packer, Jinyao Yan, Philippe Castonguay, Michael Häusser, Srinivas C. Turaga:
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit. NIPS 2017: 3486-3495- 2016
- [j5]Anatoly Buchin
, Sarah Rieubland, Michael Häusser, Boris S. Gutkin, Arnd Roth:
Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS Comput. Biol. 12(8) (2016) - 2013
- [c3]Srinivas C. Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Häusser, Jakob H. Macke:
Inferring neural population dynamics from multiple partial recordings of the same neural circuit. NIPS 2013: 539-547 - [c2]Marius Pachitariu, Adam M. Packer, Noah Pettit, Henry Dalgleish, Michael Häusser, Maneesh Sahani:
Extracting regions of interest from biological images with convolutional sparse block coding. NIPS 2013: 1745-1753 - 2011
- [j4]Hermann Cuntz, Friedrich Forstner, Alexander Borst, Michael Häusser:
The TREES Toolbox - Probing the Basis of Axonal and Dendritic Branching. Neuroinformatics 9(1): 91-96 (2011) - 2010
- [j3]Elena Phoka, Hermann Cuntz, Arnd Roth, Michael Häusser:
A New Approach for Determining Phase Response Curves Reveals that Purkinje Cells Can Act as Perfect Integrators. PLoS Comput. Biol. 6(4) (2010) - [j2]Hermann Cuntz, Friedrich Forstner, Alexander Borst, Michael Häusser:
One Rule to Grow Them All: A General Theory of Neuronal Branching and Its Practical Application. PLoS Comput. Biol. 6(8) (2010)
2000 – 2009
- 2008
- [j1]Michael London, Matthew E. Larkum, Michael Häusser:
Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model. Biol. Cybern. 99(4-5): 393-401 (2008) - 2003
- [c1]Peter Dayan, Michael Häusser:
Plasticity Kernels and Temporal Statistics. NIPS 2003: 1303-1310
Coauthor Index
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