Sümbül, Uygar

8 publications

AAAI 2025 Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function Anna Grim, Jayaram Chandrashekar, Uygar Sümbül

ICLR 2025 NetFormer: An Interpretable Model for Recovering Dynamical Connectivity in Neuronal Population Dynamics Ziyu Lu, Wuwei Zhang, Trung Le, Hao Wang, Uygar Sümbül, Eric Todd SheaBrown, Lu Mi

NeurIPS 2025 SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L Orsborn, Uygar Sümbül, Eli Shlizerman

NeurIPSW 2024 NetFormer: An Interpretable Model for Recovering Identity and Structure in Neural Population Dynamics Wuwei Zhang, Ziyu Lu, Trung Le, Hao Wang, Uygar Sümbül, Eric Todd SheaBrown, Lu Mi

NeurIPS 2023 Learning Time-Invariant Representations for Individual Neurons from Population Dynamics Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül

NeurIPS 2022 Biologically-Plausible Backpropagation Through Arbitrary Timespans via Local Neuromodulators Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül

NeurIPS 2019 A Coupled Autoencoder Approach for Multi-Modal Analysis of Cell Types Rohan Gala, Nathan Gouwens, Zizhen Yao, Agata Budzillo, Osnat Penn, Bosiljka Tasic, Gabe Murphy, Hongkui Zeng, Uygar Sümbül

NeurIPS 2016 Automated Scalable Segmentation of Neurons from Multispectral Images Uygar Sümbül, Douglas Roossien, Dawen Cai, Fei Chen, Nicholas Barry, John P. Cunningham, Edward Boyden, Liam Paninski