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.
Brains and Bits; Neuroscience Meets Machine Learning - 2016-08-26
Together with Allie Fletcher (UCLA), Eva Dyer and Konrad Koerding (Northwestern), Jascha Sohl-Dickstein (Google Research) and Joshua Vogelstein (John Hopkins), Jakob is organising a two-day workshop on Brains and Bits: Neuroscience Meets Machine Learning at NIPS 2016. It’s all happening on Friday-Saturday, December 9th-10th, 2016, in Barcelona. We have an exciting line-up of speakers from machine learning, computational neuroscience and computer-science:
Deadline for submissions is 29/09/2016– we will have both posters and contributed talks!
More instructions and information on the workshop website.