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Results: 4
Number of items: 4
  • Open Access
    Scholte, H. S., Smidi, J., Loke, J., Müller, N., Groen, I. I. A., & van Gerven, M. A. J. (2024). Convolutional neural networks align early in training with neural representations. Paper presented at 2024 Conference on Cognitive Computational Neuroscience, Boston, Massachusetts, United States. https://2024.ccneuro.org/poster/?id=324
  • Open Access
    Loke, J., Seijdel, N., Snoek, L., Sörensen, L. K. A., van de Klundert, R., van der Meer, M., Quispel, E., Cappaert, N., & Scholte, H. S. (2024). Human Visual Cortex and Deep Convolutional Neural Network Care Deeply about Object Background. Journal of Cognitive Neuroscience, 36(3), 551-566. https://doi.org/10.1162/jocn_a_02098
  • 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
    Seijdel, N., Loke, J., van de Klundert, R., van der Meer, M., Quispel, E., van Gaal, S., de Haan, E. H. F., & Scholte, H. S. (2021). On the Necessity of Recurrent Processing during Object Recognition: It Depends on the Need for Scene Segmentation. Journal of Neuroscience, 41(29), 6281-6289. https://doi.org/10.1523/JNEUROSCI.2851-20.2021
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