Associated Research Module:
Associated Research Thrust:
I am a Sir Henry Wellcome fellow currently working with Jim DiCarlo and Nancy Kanwisher at MIT and Zoe Kourtzi at the University of Cambridge. I am interested in modelling the visual object representations in the brain and behaviour, for human and monkey, using deep neural networks and conceptual models.
Broadly 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 single-cell recording data, together with computational modelling to understand these processes better.
After the completion of a BSc in Biotechnology at the University of Warsaw, I did an MPhil and a PhD in Biological Sciences at the University of Cambridge. My PhD was in the field of breast cancer genomics where I worked with Jason Carroll. I collaborated with Simon Baron-Cohen using genomics techniques in autism research. During the PhD, in parallel to the genomics research, I started working with Marieke Mur and Niko Kriegeskorte to gain experience in cognitive computational neuroscience, investigating feature-based and categorical representations in object recognition. Subsequently, I was a Humboldt fellow working with Radek Cichy at the Free University Berlin, studying animacy dimensions in object recognition and comparing words and images object representations.
• Jozwik, 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, corresponding author
• Jozwik*, K.M., O'Keeffe*, J., Storrs*, K.R., 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), corresponding author
• 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, corresponding author
• Jozwik, K.M. (2021)
"What AI can learn from the biological brain" Science (book review)
• Adhya, 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. (2021)
"Atypical neurogenesis in induced pluripotent stem cell (iPSC) from autistic individuals" Biological Psychiatry (designed initial genomics analyses and processed samples, collaboration initiator)
• Cichy, 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 (collected and analysed part of the behavioural data)
• 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, corresponding author
• Jozwik, K.M., 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
• Jozwik, K.M., Chernukhin, I., Serandour, A.A., Nagarajan, S., Carroll, J.S. (2016)
"FOXA1 directs H3K4 monomethylation at enhancers via recruitment of the methyltransferase MLL3" Cell Reports
• Jozwik, K.M., Carroll, J.S. (2012)
"Pioneer factors in hormone dependent cancers" Nature Reviews Cancer
PEER-REVIEWED CONFERENCE PUBLICATIONS
• 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., 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
• Jozwik, 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
• 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” (performed analyses on wiring cost calculations and neural fits). 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
• 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