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EMAIL jozwik.kamila@gmail.com
College Churchill College
Department
  • MRC Cognition and Brain Sciences Unit
  • Psychology
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    ORCID iDClick to view ORCID profile
    Research Theme Adaptive Brain Computations Brains and Machines Neurons, Circuits and Networks

    Other Interdiciplinary Incentives

  • 78

    • Research Focus

    Keywords

  • Visual Cognition
  • Object Recognition
  • Face Recognition
  • Deep Learning
  • Artificial Intelligence
  • fMRI
  • EEG/MEG
  • Behavioural Neuroscience
  • Cognitive Neuroscience
  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience
  • Multimodal Neuroimaging
  • Neuroimaging
  • Psychophysics
  • Computational Modelling

    • Clinical Conditions

  • Phobias

    • Equipment & Techniques

  • Behavioural analysis
  • Computational modelling
  • Electroencephalography (EEG)
  • Electrophysiological recording techniques
  • Magnetic resonance imaging (MRI)

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    Dr Kamila Jozwik

    University Position
    Royal Society University Research Fellow
    Assistant Research Professor
    Dr Kamila Jozwik is pleased to consider applications from prospective PhD students.

    Interests

    My research programme is about understanding visuo-semantic cognition in healthy populations and individuals affected by mental health disorders (using cognitive computational neuroscience, NeuroAI, and neurotechnology techniques). My research has focused on probing specific visual dimensions in the context of face, animacy, and object representations more generally. I combine experimental behavioural tasks, brain imaging (fMRI and M/EEG), and, through collaborations, macaque electrophysiology, where I use machine learning techniques for data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI models (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate CV: https://kamilajozwik.com/docs/Kamila_Jozwik_CV_June_2025_for_website.pdf). Under my recent grant, I plan to disentangle and model behaviourally-relevant visual and semantic dimensions of visual cognition in the human brain: 1) characterise behaviourally-relevant visual and semantic dimensions of visual cognition by the use of large-scale brain imaging datasets of responses to images and model these representations with AI models (deep neural networks), 2) define and model dimensions related to the perception of animacy when interacting with objects and people using videos, 3) determine to what extent these brain representations and dimensions change when humans are immersed in the environment (using mobile EEG). I am also a member of Cambridge NeuroWorks (powered by Advanced Research and Invention Agency - ARIA), where I am exploring applying my expertise in visuo-semantic cognition and AI to neurotechnology and mental health applications, specifically in the context of interfacing with the brain through non-invasive focused ultrasound stimulation and utilising generative AI for exposure therapy in healthy populations and those affected by mental health disorders.

    Collaborators

    External
  • Nikolaus Kriegeskorte
  • James DiCarlo
  • Nancy Kanwisher
  • Marieke Mur

    • Associated News Items

    Key Publications

    Deep Neural Networks and Visuo-Semantic Models Explain Complementary Components of Human Ventral-Stream Representational Dynamics.

    DOI: http://doi.org/10.1523/JNEUROSCI.1424-22.2022
    Journal: J Neurosci
    E-pub date: 8 Mar 2023
    Authors: KM Jozwik, TC Kietzmann, RM Cichy, N Kriegeskorte, M Mur

    Disentangling five dimensions of animacy in human brain and behaviour.

    DOI: http://doi.org/10.1038/s42003-022-04194-y
    Journal: Communications Biology
    E-pub date: 14 Nov 2022
    Authors: KM Jozwik, E Najarro, JJF van den Bosch, I Charest, RM Cichy, N Kriegeskorte

    Face dissimilarity judgments are predicted by representational distance in morphable and image-computable models.

    DOI: http://doi.org/10.1073/pnas.2115047119
    Journal: Proc Natl Acad Sci U S A
    E-pub date: 5 Jul 2022
    Authors: KM Jozwik, J O'Keeffe, KR Storrs, W Guo, T Golan, N Kriegeskorte

    Deep neural networks and visuo-semantic models explain complementary components of human ventral-stream representational dynamics

    DOI: http://doi.org/10.1101/2021.10.25.465583
    Journal:
    E-pub date: 1 Nov 2021
    Authors: K Jozwik, T Kietzmann, R Cichy, N Kriegeskorte, M Mur

    Disentangling five dimensions of animacy in human brain and behaviour

    DOI: http://doi.org/10.1101/2021.09.12.459854
    Journal:
    E-pub date: 17 Sep 2021
    Authors: K Jozwik, E Najarro, JJF van den Bosch, I Charest, R Cichy, N Kriegeskorte

    Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments.

    DOI: http://doi.org/10.3389/fpsyg.2017.01726
    Journal: Front Psychol
    E-pub date: 1 Aug 2017
    Authors: KM Jozwik, N Kriegeskorte, KR Storrs, M Mur

    Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares.

    DOI: http://doi.org/10.1016/j.neuropsychologia.2015.10.023
    Journal: Neuropsychologia
    E-pub date: 1 Mar 2016
    Authors: KM Jozwik, N Kriegeskorte, M Mur

    Publications

    The Self-Assembling Brain: How Neural Networks Grow Smarter

    DOI: http://doi.org/10.1126/science.abi4889
    Journal: Science
    E-pub date: 21 May 2021
    Authors: KM Jozwik

    Atypical Neurogenesis in Induced Pluripotent Stem Cells From Autistic Individuals.

    DOI: http://doi.org/10.1016/j.biopsych.2020.06.014
    Journal: Biol Psychiatry
    E-pub date: 1 Mar 2021
    Authors: D Adhya, V Swarup, R Nagy, L Dutan, C Shum, EP Valencia-Alarcón, KM Jozwik, MA Mendez, J Horder, E Loth, P Nowosiad, I Lee, D Skuse, FA Flinter, D Murphy, G McAlonan, DH Geschwind, J Price, J Carroll, DP Srivastava, S Baron-Cohen

    The spatiotemporal neural dynamics underlying perceived similarity for real-world objects.

    DOI: http://doi.org/10.1016/j.neuroimage.2019.03.031
    Journal: Neuroimage
    E-pub date: 1 Jul 2019
    Authors: RM Cichy, N Kriegeskorte, KM Jozwik, JJF van den Bosch, I Charest

    Are Topographic Deep Convolutional Neural Networks Better Models of the Ventral Visual Stream?

    DOI: http://doi.org/10.32470/ccn.2019.1019-0
    Journal:
    E-pub date: 1 Jan 2019
    Authors: KM Jozwik, H Lee, N Kanwisher, J DiCarlo

    Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations

    DOI: http://doi.org/10.32470/CCN.2018.1232-0
    Journal:
    E-pub date: 28 Nov 2018
    Authors: KM Jozwik, N Kriegeskorte, RM Cichy, M Mur

    Atypical neurogenesis in induced pluripotent stem cell (iPSC) from autistic individuals

    DOI: http://doi.org/10.1101/349415
    Journal:
    E-pub date: 21 Jun 2018
    Authors: D Adhya, V Swarup, R Nagy, L Dutan, C Shum, E Valencia-Alarcón, KM Jozwik, MA Mendez, J Horder, E Loth, P Nowosiad, I Lee, D Skuse, F Flinter, D Murphy, G McAlonan, D Geschwind, J Price, J Carroll, D Srivastava, S Baron-Cohen

    FOXA1 Directs H3K4 Monomethylation at Enhancers via Recruitment of the Methyltransferase MLL3.

    DOI: http://doi.org/10.1016/j.celrep.2016.11.028
    Journal: Cell Rep
    E-pub date: 6 Dec 2016
    Authors: KM Jozwik, I Chernukhin, AA Serandour, S Nagarajan, JS Carroll

    Pioneer factors in hormone-dependent cancers.

    DOI: http://doi.org/10.1038/nrc3263
    Journal: Nat Rev Cancer
    E-pub date: 4 May 2012
    Authors: KM Jozwik, JS Carroll