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Results: 143
Number of items: 143
  • Open Access
    Snoek, L., Jack, R. E., Schyns, P. G., Garrod, O. G. B., Mittenbühler, M., Chen, C., Oosterwijk, S., & Scholte, H. S. (2023). Testing, explaining, and exploring models of facial expressions of emotions. Science Advances, 9(6), Article abq8421. https://doi.org/10.1126/sciadv.abq8421
  • Open Access
    Müller, N., Groen, I. I. A., & Scholte, H. S. (2023). Pre-Training on High-Quality Natural Image Data Reduces DCNN Texture Bias. In CCN : Conference on Cognitive Computational Neuroscience: Oxford, UK, August 24-27, 2023 (pp. 371-374). CCN. https://doi.org/10.32470/CCN.2023.1294-0
  • Open Access
    Sörensen, L. K. A. (2023). Deep neural network models of visual cognition. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sörensen, L. K. A., Bohté, S. M., de Jong, D., Slagter, H. A., & Scholte, H. S. (2023). Mechanisms of human dynamic object recognition revealed by sequential deep neural networks. PLoS Computational Biology, 19(6), Article e1011169. https://doi.org/10.1371/journal.pcbi.1011169
  • Open Access
    Sörensen, L. K. A., Zambrano, D., Slagter, H. A., Bohté, S. M., & Scholte, H. S. (2022). Leveraging Spiking Deep Neural Networks to Understand the Neural Mechanisms Underlying Selective Attention. Journal of Cognitive Neuroscience, 34(4), 655-674. https://doi.org/10.1162/jocn_a_01819
  • Open Access
    Loke, J., Seijdel, N., Snoek, L., van der Meer, M., van de Klundert, R., Quispel, E., Cappaert, N., & Scholte, H. S. (2022). A Critical Test of Deep Convolutional Neural Networks’ Ability to Capture Recurrent Processing in the Brain Using Visual Masking. Journal of Cognitive Neuroscience, 34(12), 2390-2405. https://doi.org/10.1162/jocn_a_01914
  • Open Access
    Lammers, N. A., Van den Berg, N. S., Lugtmeijer, S., Smits, A. R., Pinto, Y., de Haan, E. H. F., & the visual brain group (2022). Mid-range visual deficits after stroke: Prevalence and co-occurrence. PLoS ONE, 17(4), Article e0262886. https://doi.org/10.1371/journal.pone.0262886
  • Open Access
    Scholte, H. S., van der Leij, A., & Lamme, V. A. F. (2022). Neuromarketing Beyond the Posttest: fMRI Can Predict the Commercial Effectiveness of Storyboards Before the TV Commercial Is Shot. In B. B. Briesemeister, & W. K. Selmer (Eds.), Neuromarketing in Business: Identifying Implicit Purchase Drivers and Leveraging them for Sales (pp. 43-54). (Management for Professionals). Springer. https://doi.org/10.1007/978-3-658-35185-4_4
  • Open Access
    Snoek, L. (2022). Towards prediction: Studying the mind and brain in the age of machine learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sörensen, L. K. A., Bohté, S. M., Slagter, H. A., & Scholte, H. S. (2022). Arousal state affects perceptual decisionmaking by modulating hierarchical sensory processing in a large-scale visual system model. PLoS Computational Biology, 18(4), Article e1009976. https://doi.org/10.1371/journal.pcbi.1009976
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