member-academic-staff

Miriam Zacksenhouse

Professor
Faculty
Full CV
Phone:
+972-77-8872092
Fax:
+972-77-8875711
Email: mermz@technion.ac.il
Office: 309, DK
Website: https://smile.net.technion.ac.il/

Education

  • 1977 - B.Sc., in Mathematics and Physics, The Hebrew University of Jerusalem, Israel
  • 1980 - B.Sc., in Mechanical Engineering, Technion - I.I.T.
  • 1982 - M.Sc., in Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Mass. USA
  • 1993 - Ph.D., in Electrical & Computer Engineering, Rice University, Houston, Texas USA

Research Interests

  • Machine Learning for Robotic Control
  • Invasive Brain Machine Interfaces (BMIs)
  • Non-invasive Brain Computer Interfaces (BCIs)
  • Computational Motor control
  • Neural oscillators and control of rhythmic movements
  • Biologically inspired control of dynamic walking of bipedal robots
  • Central Pattern Generators (CPGs)

Guest Appointments

  • Postdoctoral research associate, Center for Higher Brain Functions, Weizmann Institute of Science (1994-1995)
  • Postdoctoral research associate, department of Electrical & Computer Engineering, Rice University, Houston, TX (1993-1994)

Industrial Experience

  • Principal Engineer and project leader, Artificial Intelligence branch, Lockheed Engineering and Science Company, Houston, TX (1987-1993)
  • Engineer and project leader, NL - Industries/Technology Systems, Houston, TX (1982-1986)

Public Professional Activities

Honors and Awards

  • Research Award from the Miriam and Aaron Gutwirth Science - based Industries Center, Technion (2000)
  • Annie and Charles Corrin Academic Lectureship Award, Technion (1997)
  • Samuel and Esther August Academic Lectureship (1996)

  • Zacksenhouse M. Lebedev, M.A., J.M. Carmena, J.E. O'Doherty, C.S. Henriquez, J.C. Principe and M.A.L. Nicolelis, Cortical Modulations increase during early sessions with Brain-Machine Interfaces, PLoS-ONE, 2(7):e619, http://www.plosone.org/article/fetchArticle.action?articleURI=info:doi/10.1371/journal.pone.0000619 July, 2007.
  • Zacksenhouse M. Strategies for neural ensemble data analysis, in Nicolelis MAL. (ed) Methods for Neural Ensemble Recordings, 2nd edition, CRC Press. 2007.
  • Dejmal I. and M. Zacksenhouse, Coordinative structure of simultaneous hand movements facilitates their recognition. IEEE Trans Biomed. Eng. 53(12):1-9. Dec, 2006.
  • Zacksenhouse M. and E. Ahissar. Temporal decoding by phase-locked-loops - unique features of circuit level implementations and their significance for vibrissal information processing. Neural Computation, 18(7):1611-1636. July 2006.
  • Lebedev M.A., J.M. Carmen, J.E. O'Doherty, M. Zacksenhouse, C.S. Henriquez and M.A.L. Nicolelis, Cortical Ensemble adaptation to represent velocity of an artificial actuator controlled by Brain Machine Interface, J. Neuroscience, 25(19):4681-4693, 2005.
  • Jin H.L. and M. Zacksenhouse, Robotic Yoyo playing with visual feedback, IEEE Trans Robotics, 20(4):736-744, Aug. 2004.
  • Jin H.L. and M. Zacksenhouse, Oscillatory neural control of dynamic systems, IEEE Trans Neural Networks, 14(2):317-325, March 2003.

  • Machine Learning for Robotic Control
  • Invasive Brain Machine Interfaces (BMIs)
  • Non-invasive Brain Computer Interfaces (BCIs)
  • Computational Motor control
  • Neural oscillators and control of rhythmic movements
  • Biologically inspired control of dynamic walking of bipedal robots
  • Central Pattern Generators (CPGs)