1 code implementation • 2 Jun 2022 • Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül
Finally, we derive an in-silico implementation of ModProp that could serve as a low-complexity and causal alternative to backpropagation through time.
no code implementations • 28 Sep 2020 • Yeganeh Marghi, Rohan Gala, Uygar Sümbül
Jointly identifying a mixture of discrete and continuous factors of variability can help unravel complex phenomena.
no code implementations • 20 Jul 2020 • Yeganeh M. Marghi, Rohan Gala, Uygar Sümbül
Jointly identifying a mixture of discrete and continuous factors of variability without supervision is a key problem in unraveling complex phenomena.
1 code implementation • NeurIPS 2019 • Rohan Gala, Nathan Gouwens, Zizhen Yao, Agata Budzillo, Osnat Penn, Bosiljka Tasic, Gabe Murphy, Hongkui Zeng, Uygar Sümbül
Recent developments in high throughput profiling of individual neurons have spurred data driven exploration of the idea that there exist natural groupings of neurons referred to as cell types.
no code implementations • 17 Mar 2019 • James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül
Reconstructing multiple molecularly defined neurons from individual brains and across multiple brain regions can reveal organizational principles of the nervous system.