Dr Kamila Jozwik University positionSir Henry Wellcome postdoctoral fellow DepartmentsHome pagehttp://kamilajozwik.com/ (personal home page) Research ThemesInterestsBroadly I'm interested in the following questions: How does the primate brain process visual information? More specifically - how does the primate brain recognise objects? What are the underlying computations of visual processing? I use fMRI, EEG, MEG, behavioural measures and electrophysiology data, together with computational modelling (including deep neural networks) to understand these processes better.  Features correlated with categories explain the IT representation and similarity judgments reflect additional categorical variance. View image full-size (3383x3211 pixels) Research Focus
EquipmentBehavioural analysis Computational modelling Electroencephalography (EEG) Electrophysiology Magnetic resonance imaging (MRI) Collaborators
Associated News ItemsPublications2023Jozwik, K.M., Kietzmann, T.C., Cichy, RM., Kriegeskorte, N., Mur, M. (2023), “Deep neural networks and semantic models explain complementary components of human ventral-stream representational dynamics” Journal of Neuroscience 2022Jozwik, K.M.*, O'Keeffe*, J., Storrs*, K., Guo, W., Golan, T., Kriegeskorte, N. (2022), “Face dissimilarity judgements are predicted by representational distance in morphable and image-computable models” Proceedings of the National Academy of Sciences (*contributed equally) Jozwik, K.M., Najarro, E., van den Bosch, JJF., Charest, I., Cichy*, RM. and Kriegeskorte*, N. (2022), “Disentangling five dimensions of animacy in human brain and behaviour” Communications Biology (*contributed equally) 2021Jozwik, K.M. (2021), “What AI can learn from the biological brain” Science Jozwik, K.M., Elias Najarro, E., Bosch, JJF., Charest, I., Kriegeskorte, N., and Cichy, RM. (2021), “Disentangling dimensions of animacy in human brain and behaviour” bioRxiv Jozwik, K.M., Kietzmann, T.C., Cichy, R.M., Kriegeskorte, N., Mur, M. (2021), “Deep neural networks and visuo-semantic models explain complementary components of human ventral-stream representational dynamics” bioRxiv 2020Adhya, D., Swarup, V., Nagy, R., Dutan, L., Shum, C., Valencia-Alarcón, E.P., Jozwik, K.M., Mendez, M.A, Horder, J., Loth, E., Nowosiad, P., Lee, I., Skuse, D., Flinter, F.A., Murphy, D., McAlonan, G., Geschwind, D.H, Price, J., Carroll, J., Srivastava, D.P., Baron-Cohen, S. (2020), “Atypical neurogenesis in induced pluripotent stem cell (iPSC) from autistic individuals” Biological Psychiatry Lee, H., Margalit, E., Jozwik, K.M., Cohen, M.A., Kanwisher, N., Yamins, D.L.K, DiCarlo, J.J. (2020), “Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network” BioRxiv 2019Cichy, R. M., Kriegeskorte, N., Jozwik, K.M., van den Bosch, J.J.F. , Charest, I. (2019), “The spatiotemporal neural dynamics underlying perceived similarity for real-world objects” Neuroimage, 194, 12-24 Jozwik, K.M., Lee, H., Kanwisher, N. and DiCarlo, J.J. (2019), “Are topographic deep convolutional neural networks better models of the ventral visual stream?” Conference on Cognitive Computational Neuroscience Jozwik, K.M., Lee, M., Marques, T., Schrimpf, M., Bashivan, P. (2019), “Large-scale hyperparameter search for predicting human brain responses in the Algonauts challenge” BioRxiv Jozwik, K.M., Schrimpf, M., Kanwisher, N. and DiCarlo, J.J. (2019), “To find better neural network models of human vision, find better neural network models of primate vision” BioRxiv 2018Jozwik, K.M., Kriegeskorte, N., Cichy, R. M., Mur, M. (2018), “Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations” Conference on Cognitive Computational Neuroscience 2017Jozwik, K.M., Charest I., Kriegeskorte, N. and Cichy, R. M. (2017), “Animacy dimensions ratings and approach for decorrelating stimuli dimensions” Conference on Cognitive Computational Neuroscience Jozwik, K.M., Kriegeskorte, N., Storrs, K. R., Mur, M. (2017), “Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments” Frontiers in Psychology 8(10):1726 2016Jozwik KM, Chernukhin I, Serandour AA, Nagarajan S, Carroll JS (2016), “FOXA1 Directs H3K4 Monomethylation at Enhancers via Recruitment of the Methyltransferase MLL3.” Cell Reports 17(10):2715-2723. Jozwik KM, Kriegeskorte N, Mur M (2016), “Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares.” Neuropsychologia 83:201-26. 2012Jozwik KM, Carroll JS (2012), “Pioneer factors in hormone dependent cancers.” Nature Reviews Cancer 12(6):381-5. |
