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Michael Häusser

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affiliation: University College London, Wolfson Institute for Biomedical Research

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2010 – 2019

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2017
[c4]
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  dblp key:
  - conf/nips/AitchisonRPYCHT17
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  - https://dblp.org/rec/conf/nips/AitchisonRPYCHT17
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]
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  - journals/ploscb/BuchinRHGR16
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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]
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  - conf/nips/TuragaBPDPHM13
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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]
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  - conf/nips/PachitariuPPDHS13
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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]
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  - journals/ni/CuntzFBH11
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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]
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  - journals/ploscb/PhokaCRH10
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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]
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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

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2008
[j1]
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  - journals/bc/LondonLH08
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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
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  - conf/nips/DayanH03
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Peter Dayan, Michael Häusser:
Plasticity Kernels and Temporal Statistics. NIPS 2003: 1303-1310

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