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Jennie Si

Affiliations: 
Electrical Engineering Arizona State University, Tempe, AZ, United States 
Area:
Electronics and Electrical Engineering
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"Jennie Si"
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Russell J. Enns grad student 2001 Arizona State
Deana R. Delp grad student 2003 Arizona State
Huibao Lin grad student 2005 Arizona State
Chenhui Yang grad student 2012 Arizona State
Hongwei Mao grad student 2014 Arizona State

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Publications

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Mao H, Yuan Y, Si J. (2018) Cortical Neural Modulation by Previous Trial Outcome Differentiates Fast from Slow Learning Rats on a Visuomotor Directional Choice Task. Journal of Neurophysiology
Meng W, Yang Q, Si J, et al. (2016) Consensus Control of Nonlinear Multiagent Systems With Time-Varying State Constraints. Ieee Transactions On Cybernetics
Wen Y, Si J, Gao X, et al. (2016) A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming. Ieee Transactions On Neural Networks and Learning Systems
Meng W, Yang Q, Si J, et al. (2016) Adaptive Neural Control of a Class of Output-Constrained Nonaffine Systems. Ieee Transactions On Cybernetics. 46: 85-95
Guo W, Liu F, Si J, et al. (2015) Online Supplementary ADP Learning Controller Design and Application to Power System Frequency Control With Large-Scale Wind Energy Integration. Ieee Transactions On Neural Networks and Learning Systems
Mao H, Yuan Y, Si J. (2015) Improved discriminability of spatiotemporal neural patterns in rat motor cortical areas as directional choice learning progresses. Frontiers in Systems Neuroscience. 9: 28
Yuan Y, Mao H, Si J. (2015) Cortical neural responses to previous trial outcome during learning of a directional choice task. Journal of Neurophysiology. 113: 1963-76
Gao X, Munson E, Abousleman GP, et al. (2015) Automatic solar panel recognition and defect detection using infrared imaging Proceedings of Spie. 9476
Mao H, Yang C, Abousleman GP, et al. (2014) Automatic detection and tracking of multiple interacting targets from a moving platform Optical Engineering. 53: 013102
Yang C, Yuan Y, Si J. (2013) Robust spike classification based on frequency domain neural waveform features. Journal of Neural Engineering. 10: 066015
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