Eli Shlizerman

Affiliations: 
Electrical and Computer Engineering University of Washington, Seattle, Seattle, WA 
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Kim J, Leahy W, Shlizerman E. (2019) Neural Interactome: Interactive Simulation of a Neuronal System. Frontiers in Computational Neuroscience. 13: 8
Liu H, Kim J, Shlizerman E. (2018) Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of . Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 373
Barreiro AK, Kutz JN, Shlizerman E. (2017) Symmetries Constrain Dynamics in a Family of Balanced Neural Networks. Journal of Mathematical Neuroscience. 7: 10
Blaszka D, Sanders E, Riffell JA, et al. (2017) Classification of Fixed Point Network Dynamics from Multiple Node Timeseries Data. Frontiers in Neuroinformatics. 11: 58
Kunert-Graf JM, Shlizerman E, Walker A, et al. (2017) Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics. Frontiers in Computational Neuroscience. 11: 53
Shlizerman E, Phillips-Portillo J, Forger DB, et al. (2016) Neural Integration Underlying a Time-Compensated Sun Compass in the Migratory Monarch Butterfly. Cell Reports
Barreiro AK, Kutz JN, Shlizerman E. (2015) Symmetries constrain the transition to heterogeneous chaos in balanced networks Bmc Neuroscience. 16
Santos J, Shlizerman E. (2015) Closing the loop: optimal stimulation of C. elegans neuronal network via adaptive control to exhibit full body movements Bmc Neuroscience. 16: 1-2
Kunert J, Shlizerman E, Kutz JN. (2014) Low-dimensional functionality of complex network dynamics: neurosensory integration in the Caenorhabditis Elegans connectome. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 89: 052805
Shlizerman E, Riffell JA, Kutz JN. (2014) Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe. Frontiers in Computational Neuroscience. 8: 70
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