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Results: 26
Number of items: 26
  • Sörensen, L. K. A., Zambrano, D., Slagter, H., Bohte, S., & Scholte, S. (2020, December 16). ModelAnalysis [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13386377.v1
  • Sörensen, L. K. A., Zambrano, D., Slagter, H., Bohte, S., & Scholte, S. (2020, December 16). ModelTraining [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13386395.v1
  • Open Access
    Seijdel, N., Tsakmakidis, N., de Haan, E. H. F., Bohte, S. M., & Scholte, H. S. (2020). Depth in convolutional neural networks solves scene segmentation. PLoS Computational Biology, 16(7), Article e1008022. https://doi.org/10.1371/journal.pcbi.1008022
  • Open Access
    Zambrano, D., Nusselder, R., Scholte, H. S., & Bohté, S. M. (2019). Sparse Computation in Adaptive Spiking Neural Networks. Frontiers in Neuroscience, 12, Article 987. https://doi.org/10.3389/fnins.2018.00987
  • Open Access
    Seijdel, N., Tsakmakidis, N., De Haan, E. H. F., Bohte, S. M., & Scholte, H. S. (2019). Depth in convolutional neural networks solves scene segmentation. (v1 ed.) BioRxiv. https://doi.org/10.1101/2019.12.16.877753
  • Open Access
    Scholte, H. S., Losch, M. M., Ramakrishnan, K., de Haan, E. H. F., & Bohte, S. M. (2018). Visual pathways from the perspective of cost functions and multi-task deep neural networks. Cortex, 98, 249-261. https://doi.org/10.1016/j.cortex.2017.09.019
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