We seek to understand how populations of neurons collectively process sensory input, perform computations and control behaviour. To this end, we develop statistical models and machine learning algorithms for large-scale analysis of neural data, and collaborate with experimental laboratories performing measurements of neural activity and behaviour.


We develop statistical models for the analysis of neural and behavioural data.

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Read more about our work in our articles and conference papers.

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We share code for many of our publications.

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Latest News

Talk at CNS


Our abstract ``Flexible Bayesian inference for complex models of single neurons’’ by Pedro J. Goncalves, Jan-Matthis Lueckmann, Giacomo Bassetto and Marcel Nonnenmacher, has been accepted for a talk at the Computational Neuroscience meeting this year.

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