2025 Nature Machine Intelligence Dimensions underlying the representational alignment of deep neural networks with humans Florian P. Mahner , Lukas Muttenthaler , Umut Güçlü , Martin N. Hebart PDF Web Communications Psychology Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience Johannes Roth , Yunyan Duan , Florian P. Mahner , Philipp Kaniuth , Thomas SA Wallis , Martin N. Hebart PDF Web eLife A high-throughput approach for the efficient prediction of perceived similarity of natural objects Philipp Kaniuth , Florian P. Mahner , Jonas Perkuhn , Martin N. Hebart PDF Web Conference on Cognitive Computational Neuroscience Quantifying the role of perceived curvature in the processing of natural object images Laura M. Stoinski , Diego García Cerdas , Florian P. Mahner , Parsa Yousefi , Martin N. Hebart PDF 2023 Conference on Cognitive Computational Neuroscience Dimensions that matter: Interpretable object dimensions in humans and deep neural networks Florian P. Mahner , Lukas Muttenthaler , Umut Güçlü , Martin N. Hebart PDF 2022 Conference on Cognitive Computational Neuroscience Learning cortical magnification with brain-optimized convolutional neural networks Florian P. Mahner , Katja Seeliger , Umut Güçlü , Martin N. Hebart PDF 2020 Scientific Reports Reliance on model-based and model-free control in obesity Lieneke K. Janssen , Florian P. Mahner , Florian Schlagenhauf , Lorenz Deserno , Annette Horstmann PDF Web 2017 Proceedings of the 9th International Conference on Machine Learning and Computing Quasi view-independent human motion recognition in subspaces Pattreeya Tanisaro , Florian P. Mahner , Gunther Heidemann PDF Web
Nature Machine Intelligence Dimensions underlying the representational alignment of deep neural networks with humans Florian P. Mahner , Lukas Muttenthaler , Umut Güçlü , Martin N. Hebart PDF Web
Communications Psychology Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience Johannes Roth , Yunyan Duan , Florian P. Mahner , Philipp Kaniuth , Thomas SA Wallis , Martin N. Hebart PDF Web
eLife A high-throughput approach for the efficient prediction of perceived similarity of natural objects Philipp Kaniuth , Florian P. Mahner , Jonas Perkuhn , Martin N. Hebart PDF Web
Conference on Cognitive Computational Neuroscience Quantifying the role of perceived curvature in the processing of natural object images Laura M. Stoinski , Diego García Cerdas , Florian P. Mahner , Parsa Yousefi , Martin N. Hebart PDF
Conference on Cognitive Computational Neuroscience Dimensions that matter: Interpretable object dimensions in humans and deep neural networks Florian P. Mahner , Lukas Muttenthaler , Umut Güçlü , Martin N. Hebart PDF
Conference on Cognitive Computational Neuroscience Learning cortical magnification with brain-optimized convolutional neural networks Florian P. Mahner , Katja Seeliger , Umut Güçlü , Martin N. Hebart PDF
Scientific Reports Reliance on model-based and model-free control in obesity Lieneke K. Janssen , Florian P. Mahner , Florian Schlagenhauf , Lorenz Deserno , Annette Horstmann PDF Web
Proceedings of the 9th International Conference on Machine Learning and Computing Quasi view-independent human motion recognition in subspaces Pattreeya Tanisaro , Florian P. Mahner , Gunther Heidemann PDF Web
