Volgen
Kamila Jozwik
Kamila Jozwik
Sir Henry Wellcome postdoctoral fellow, MIT, University of Cambridge
Geverifieerd e-mailadres voor mit.edu
Titel
Geciteerd door
Geciteerd door
Jaar
Pioneer factors in hormone-dependent cancers
KM Jozwik, JS Carroll
Nature Reviews Cancer 12 (6), 381, 2012
2622012
FOXA1 directs H3K4 monomethylation at enhancers via recruitment of the methyltransferase MLL3
KM Jozwik, I Chernukhin, AA Serandour, S Nagarajan, JS Carroll
Cell reports 17 (10), 2715-2723, 2016
1312016
Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments
KM Jozwik, N Kriegeskorte, KR Storrs, M Mur
Frontiers in psychology 8, 1726, 2017
942017
Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares
KM Jozwik, N Kriegeskorte, M Mur
Neuropsychologia 83, 201-226, 2016
702016
The spatiotemporal neural dynamics underlying perceived similarity for real-world objects
RM Cichy, N Kriegeskorte, KM Jozwik, JJF van den Bosch, I Charest
NeuroImage 194, 12-24, 2019
55*2019
Atypical neurogenesis in induced pluripotent stem cells from autistic individuals
D Adhya, V Swarup, R Nagy, L Dutan, C Shum, EP Valencia-Alarcón, ...
Biological psychiatry 89 (5), 486-496, 2021
352021
Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network
H Lee, E Margalit, KM Jozwik, MA Cohen, N Kanwisher, DLK Yamins, ...
bioRxiv, 2020
262020
Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations
K Jozwik, N Kriegeskorte, RM Cichy, M Mur
Cognitive Computational Neuroscience, 2018
92018
Face dissimilarity judgements are predicted by representational distance in morphable and image-computable models
KM Jozwik*, J O'Keeffe*, KR Storrs*, W Guo, T Golan, N Kriegeskorte
Proceedings of the National Academy of Sciences 119 (27), 2022
72022
To find better neural network models of human vision, find better neural network models of primate vision
KM Jozwik, M Schrimpf, N Kanwisher, JJ DiCarlo
BioRxiv, 688390, 2019
52019
Large-scale hyperparameter search for predicting human brain responses in the Algonauts challenge
KM Jozwik, M Lee, T Marques, M Schrimpf, P Bashivan
BioRxiv, 689844, 2019
42019
Disentangling five dimensions of animacy in human brain and behaviour
KM Jozwik, E Najarro, JJF van den Bosch, I Charest, RM Cichy, ...
Communications Biology 5 (1), 1-15, 2022
22022
Animacy Dimensions Ratings and Approach for Decorrelating Stimuli Dimensions
K Jozwik, I Charest, N Kriegeskorte, RM Cichy
22018
Deep neural networks and visuo-semantic models explain complementary components of human ventral-stream representational dynamics
KM Jozwik, TC Kietzmann, RM Cichy, N Kriegeskorte, M Mur
bioRxiv, 2021.10.25.465583v1, 2021
12021
What AI can learn from the biological brain
KM Jozwik
SCIENCE 372 (6544), 798-798, 2021
2021
Face dissimilarity judgements are predicted by representational distance in morphable and image-computable models
KM Jozwik, J O’Keeffe, KR Storrs, W Guo, T Golan, N Kriegeskorte
bioRxiv, 2021.04. 09.438859v3, 2021
2021
Disentangling dimensions of animacy in human brain and behaviour
KM Jozwik, E Najarro, JJF Bosch, I Charest, N Kriegeskorte, RM Cichy
bioRxiv, 2021.09.12.459854, 2021
2021
Are Topographic Deep Convolutional Neural Networks Better Models of the Ventral Visual Stream?
KM Jozwik, HD Lee, N Kanwisher, J DiCarlo
Cognitive Computational Neuroscience, 2019
2019
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–18