1 code implementation • 21 Feb 2024 • Luciano Dyballa, Samuel Lang, Alexandra Haslund-Gourley, Eviatar Yemini, Steven W. Zucker
We introduce an unsupervised approach to learn the dynamic affinities between neurons in live, behaving animals, and to reveal which communities form among neurons at different times.
no code implementations • 12 Aug 2023 • Gal Haspel, Edward S Boyden, Jeffrey Brown, George Church, Netta Cohen, Christopher Fang-Yen, Steven Flavell, Miriam B Goodman, Anne C Hart, Oliver Hobert, Eduardo J Izquierdo, Konstantinos Kagias, Shawn Lockery, Yangning Lu, Adam Marblestone, Jordan Matelsky, Hanspeter Pfister, Horacio G Rotstein, Monika Scholz, Eli Shlizerman, Quilee Simeon, Michael A Skuhersky, Vineet Tiruvadi, Vivek Venkatachalam, Guangyu Robert Yang, Eviatar Yemini, Manuel Zimmer, Konrad P Kording
More fundamentally, reconstructing or modeling a system is an important milestone in understanding it, and so, simulating an entire nervous system is in itself one of the goals, indeed dreams, of systems neuroscience.
no code implementations • pproximateinference AABI Symposium 2019 • Gonzalo Mena, Erdem Varol, Amin Nejatbakhsh, Eviatar Yemini, Liam Paninski
This problem is known to quickly become intractable as the size of the permutation increases, since its involves the computation of the permanent of a matrix, a #P-hard problem.