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Personal profile

Education/Academic qualification

PHD, University of Notre Dame

… → 1992

MS, Tsinghua University

… → 1988

BS, Tsinghua University

… → 1985

Fingerprint Dive into the research topics where Jennie Si is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 7 Similar Profiles
Dynamic programming Engineering & Materials Science
Neural networks Engineering & Materials Science
Target tracking Engineering & Materials Science
Controllers Engineering & Materials Science
Neurons Engineering & Materials Science
Rats Engineering & Materials Science
Brain Engineering & Materials Science
Recurrent neural networks Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1990 2019

Cortical neural modulation by previous trial outcome differentiates fast-from slow-learning rats on a visuomotor directional choice task

Mao, H., Yuan, Y. & Si, J., Jan 1 2019, In : Journal of neurophysiology. 121, 1, p. 50-60 11 p.

Research output: Contribution to journalArticle

Motor Cortex
Learning
Learning Curve
Cues
Neurons

Robotic Knee Parameter Tuning Using Approximate Policy Iteration

Gao, X., Wen, Y., Li, M., Si, J. & Huang, H. H., Jan 1 2019, Cognitive Systems and Signal Processing - 4th International Conference, ICCSIP 2018, Revised Selected Papers. Sun, F., Liu, H. & Hu, D. (eds.). Springer Verlag, p. 554-563 10 p. (Communications in Computer and Information Science; vol. 1005).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Policy Iteration
Parameter Tuning
Robotics
Tuning
Approximate Dynamic Programming

Robotic Knee Prosthesis Real-Time Control Using Reinforcement Learning with Human in the Loop

Wen, Y., Gao, X., Si, J., Brandt, A., Li, M. & Huang, H. H., Jan 1 2019, Cognitive Systems and Signal Processing - 4th International Conference, ICCSIP 2018, Revised Selected Papers. Sun, F., Liu, H. & Hu, D. (eds.). Springer Verlag, p. 463-473 11 p. (Communications in Computer and Information Science; vol. 1005).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Knee prostheses
Reinforcement learning
Real time control
Reinforcement Learning
Control Parameter

Automatically customizing a powered knee prosthesis with human in the loop using adaptive dynamic programming

Wen, Y., Brandt, A., Si, J. & Huang, H. H., Jun 12 2018, 2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017. Institute of Electrical and Electronics Engineers Inc., p. 1-2 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Knee prostheses
Knee Prosthesis
Amputees
Adaptive Dynamics
Dynamic programming
1 Citation (Scopus)

Automatic cell segmentation by adaptive thresholding (ACSAT) for large-scale calcium imaging datasets

Shen, S. P., Tseng, H. A., Hansen, K. R., Wu, R., Han, X., Gritton, H. J. & Si, J., Sep 1 2018, In : eNeuro. 5, 5, e0056-18.2018.

Research output: Contribution to journalArticle

Calcium
Neurons
Hippocampus
Datasets
Signal-To-Noise Ratio

Projects 1993 2021