Plasticity Kernels and Temporal Statistics. - Peter Dayan; Michael Häusser (NIPS, 2003)

Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model. - Michael London; Matthew E. Larkum; Michael Häusser (Biol. Cybern., 2008)

One Rule to Grow Them All: A General Theory of Neuronal Branching and Its Practical Application. - Hermann Cuntz; Friedrich Forstner; Alexander Borst; Michael Häusser (PLoS Comput. Biol., 2010)

A New Approach for Determining Phase Response Curves Reveals that Purkinje Cells Can Act as Perfect Integrators. - Elena Phoka; Hermann Cuntz; Arnd Roth; Michael Häusser (PLoS Comput. Biol., 2010)

The TREES Toolbox - Probing the Basis of Axonal and Dendritic Branching. - Hermann Cuntz; Friedrich Forstner; Alexander Borst; Michael Häusser (Neuroinformatics, 2011)

Extracting regions of interest from biological images with convolutional sparse block coding. - Marius Pachitariu; Adam M. Packer; Noah Pettit; Henry Dalgleish; Michael Häusser; Maneesh Sahani (NIPS, 2013)

Inferring neural population dynamics from multiple partial recordings of the same neural circuit. - Srinivas C. Turaga; Lars Buesing; Adam M. Packer; Henry Dalgleish; Noah Pettit; Michael Häusser; Jakob H. Macke (NIPS, 2013)

Inverse Stochastic Resonance in Cerebellar Purkinje Cells. - Anatoly Buchin; Sarah Rieubland; Michael Häusser; Boris S. Gutkin; Arnd Roth (PLoS Comput. Biol., 2016)

Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit. - Laurence Aitchison; Lloyd Russell; Adam M. Packer; Jinyao Yan; Philippe Castonguay; Michael Häusser; Srinivas C. Turaga (NIPS, 2017)