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Physical Review Letters|September 29, 2023
Dimension of Activity in Random Neural NetworksDavid G Clark, L F Abbott, Ashok Litwin-KumarBiorxiv : the Preprint Server for Biology|November 28, 2024
Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchyLorenzo Posani, Shuqi Wang, Samuel P Muscinelli, et al.Neuron|June 13, 2024
A cerebellar granule cell-climbing fiber computation to learn to track long time intervalsMartha G Garcia-Garcia, Akash Kapoor, Oluwatobi Akinwale, et al.Arxiv|November 24, 2025
Connectivity structure and dynamics of nonlinear recurrent neural networksDavid G Clark, Owen Marschall, Alexander van Meegen, et al.Physical Review. X|January 12, 2026
Connectivity Structure and Dynamics of Nonlinear Recurrent Neural NetworksDavid G Clark, Owen Marschall, Alexander van Meegen, et al.Nature Neuroscience|February 25, 2016
The mechanics of state-dependent neural correlationsBrent Doiron, Ashok Litwin-Kumar, Robert Rosenbaum, et al.Plos Computational Biology|January 5, 2012
Balanced synaptic input shapes the correlation between neural spike trainsAshok Litwin-Kumar, Anne-Marie M Oswald, Nathaniel N Urban, et al.Neuron|February 21, 2017
Optimal Degrees of Synaptic ConnectivityAshok Litwin-Kumar, Kameron Decker Harris, Richard Axel, et al.Nature Communications|July 7, 2024
Diversity of visual inputs to Kenyon cells of the Drosophila mushroom bodyIshani Ganguly, Emily L Heckman, Ashok Litwin-Kumar, et al.Elife|December 24, 2019
A multilayer circuit architecture for the generation of distinct locomotor behaviors in <i>Drosophila</i>Aref Arzan Zarin, Brandon Mark, Albert Cardona, et al.Pageof 7