Since September 2010, I am a Research Associate in the Computational and Biological Learning Lab at Cambridge University, working with Dr. Mate Lengyel. Since October 2012, I am also affiliated with Clare Hall. Previously, I obtained a Ph.D. in Computational Neuroscience at the Frankfurt Institute for Advanced Studies, under the supervision of Prof. Jochen Triesch.

In very generic terms, my research focuses on learning and memory in the brain. Using a combination of theoretical modelling, computer simulations and data analysis, I try to understand different plasticity mechanisms in relation to the computational functions that neural circuits need to perform.

Recent and ongoing projects:

1. The role of different homeostatic mechanism in learning efficient representations of sensory inputs: see recent papers in PLoS Comp.Biol. [Savin et al, 2010], [Keck et al, 2012]

2. Reward dependent learning in the prefrontal cortex, in particular inverstigating how task constraints shape neural representations in areas associated to working memory; Cosyne talk 2009.

3. Circuit and systems' level solutions for effective autoassociative memory recall: in collaboration with Mate Lengyel and Peter Dayan, see our NIPS 2011 paper.

4. Signatures of statistical optimal learning in neural activity: in collaboration with Jozsef Fiser and Mate Lengyel. I have been developing new tools for analyzing spiking activity from populations of neurons in ferret V1; see the abstracts of our two recent SfN talks here.

For more details, have a look at my publications.

Last modified: 3 January 2012