Dr. Kamila Jozwik
Kamila was member of the lab from February 2016 till December 2018.
During her stay, she was awarded an Alexander von Humboldt PostDoctoral Fellowship.
She left the lab end of 2017 to take up work at MIT, funded by a Sir Henry Welcome Potdoctoral Fellowship.
I'm interested in the following questions:
How does the primate brain process visual information?
More specifically - how does the brain recognise faces, objects and scenes?
What are the underlaying computations of visual and semantic processing?
I'm using fMRI, EEG, MEG, behavioural measures and single-cell recording data, together with computational modelling (including deep neural networks) to understand these processes better.
Additionally, I'm working on the development of methods to link genomics and brain representations.
PEER REVIEWED ARTICLES
Jozwik, K.M., Kriegeskorte, N., Mur, M. (2015) ”Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares” Special issue ”Functional selectivity in perceptual and cognitive systems” Neuropsychologia S0028-3932(15)30199-8. doi: 10.1016/j.neuropsychologia.2015.10.023.
Jozwik, K.M., Carroll, J.S. (2012) ”Pioneer factors in hormone dependent cancers” Nature Reviews Cancer 4;12(6):381-5. doi: 10.1038/nrc3263.
Jozwik, K.M., Chernukhin, I., Serandour, A. A., Carroll, J.S. ”FOXA1 directs H3K4 monomethylation at enhancers via recruitment of the methyltransferase MLL3”
Jozwik, K.M., Chernukhin, I., Stark R., Carroll, J.S. ”FOXA1 interactome screen in MCF7 and tamoxifen resistant cell lines”
Jozwik, K.M., Kriegeskorte, N., Cichy, R. M., Mur, M. ”Visual features versus categories: Explaining object representations in primate IT and deep neural networks with weighted representational modeling”
O’Keeffe*, J., Jozwik, K.M.*, Engel S., Kriegeskorte, N. ”Predicting face similarity judgements from Basel Face Space” (*these authors contributed equally to this work)