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EMAIL jozwik.kamila@gmail.com
College Churchill College
Department
  • 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

  • SBS Neuroscience, Psychology and Behaviour theme

    • 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

  • Autism

    • Equipment & Techniques

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

    • Science Culture

  • Equality, Diversity, Inclusion and Wellbeing
  • Mentorship
  • Open-Source Science
  • Open Access
  • Teaching
  • Women in Neuroscience

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    Dr Kamila Jozwik

    University Position
    Sir Henry Wellcome Postdoctoral Fellow

    Interests

    Currently, I work on projects that try to answer a broad question: "How does the human brain construct behaviourally-relevant representations of the visual world, and how can we computationally model these representations with AI models?" using a cognitive computational neuroscience approach that combines behavioural tasks, neuroimaging (EEG, MEG, 3T and 7TfMRI and through collaborations primate electrophysiology), and computational modelling (especially biologically inspired deep learning vision models and large language models, such as ChatGPT).

    Collaborators

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

    • Key Publications

    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

    Disentangling five dimensions of animacy in human brain and behaviour

    DOI: http://doi.org/10.1101/2021.09.12.459854
    Journal:
    E-pub date: 1 Aug 2021
    Authors: K Jozwik, E Najarro, JJF van den Bosch, I Charest, R Cichy, 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 Aug 2021
    Authors: K Jozwik, T Kietzmann, R Cichy, N Kriegeskorte, M Mur

    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: 1 Aug 2021
    Authors: KM Jozwik

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

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

    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

    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: 1 Aug 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