Kamila Jozwik

Kamila Jozwik
Kamila
Jozwik
Postdoc

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. 

Research interests

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. 

Bio

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.

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., 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

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, 194, 12-24

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

Adhya, D., Swarup, V., Nowosaid, P., Shum, C., Jozwik, K.M., McAlonan, G., Mendez, M.A., Horder, J., Murphy, D., Geschwind, D.H, Price, J., Carroll, J., Srivastava, D.P., Baron-Cohen, S. (2018)
"Shared gene co-expression networks in autism from induced pluripotent stem cell (iPSC) neurons” 
BioRxiv

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

Jozwik, K.M., Charest I., Kriegeskorte, N. Cichy, R. M., (2017)
“Animacy dimensions ratings and approach for decorrelating stimuli dimensions” 
Conference on Cognitive Computational Neuroscience

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 83:201-26.

Jozwik, K.M., 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, K.M., Carroll JS (2012)
“Pioneer factors in hormone dependent cancers.” 
Nature Reviews Cancer 12(6):381-5.

 

Email:  kmjozwik@mit.edu
Room:  46 - 6157