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.
Read more about our work in our articles and conference papers.
We share code for many of our publications.
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.