Uygar Sümbül

According to our database, Uygar Sümbül authored at least 12 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Publisher Correction: Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS.

Yeganeh M. Marghi, Rohan Gala, Fahimeh Baftizadeh, Uygar Sümbül

Nat. Comput. Sci., October, 2024

Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS.

Yeganeh M. Marghi, Rohan Gala, Fahimeh Baftizadeh, Uygar Sümbül

Nat. Comput. Sci., September, 2024

2023

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics.

Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators.

Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Consistent cross-modal identification of cortical neurons with coupled autoencoders.

Rohan Gala, Agata Budzillo, Fahimeh Baftizadeh, Jeremy A. Miller, Nathan W. Gouwens, Anton Arkhipov, Gabe Murphy, Bosiljka Tasic, Hongkui Zeng, Michael Hawrylycz, Uygar Sümbül

Nat. Comput. Sci., 2021

2020

Joint Learning of Discrete and Continuous Variability with Coupled Autoencoding Agents.

Yeganeh M. Marghi, Rohan Gala, Uygar Sümbül

CoRR, 2020

2019

A coupled autoencoder approach for multi-modal analysis of cell types.

Rohan Gala, Nathan W. Gouwens, Zizhen Yao, Agata Budzillo, Osnat Penn, Bosiljka Tasic, Gabe Murphy, Hongkui Zeng, Uygar Sümbül

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Reconstructing Neuronal Anatomy from Whole-Brain Images.

James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2016

Automated scalable segmentation of neurons from multispectral images.

Uygar Sümbül, Douglas H. Roossien, Dawen Cai, Fei Chen, Nicholas Barry, John P. Cunningham, Edward S. Boyden, Liam Paninski

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2009

A Practical Acceleration Algorithm for Real-Time Imaging.

Uygar Sümbül, Juan M. Santos, John M. Pauly

IEEE Trans. Medical Imaging, 2009

Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging.

Uygar Sümbül, Juan M. Santos, John M. Pauly

IEEE Trans. Medical Imaging, 2009

2006

Interpolating Between Periodicity and Discreteness Through the Fractional Fourier Transform.

Haldun M. Özaktas, Uygar Sümbül

IEEE Trans. Signal Process., 2006