Zheng Li 李征
About
Me
My interests are in brain-machine interfaces (BMI). My research focuses
on improving the accuracy and user-friendliness of cortical neuroprosthetic
systems through machine learning and signal processing techniques.
I received my Bachelor of Science in Computer Science and
Mathematics at Purdue University in 2004, and I received my Doctor of Philosophy in Computer Science
from Duke University in 2010. My graduate advisor was Craig Henriquez.
I currently work in the National Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University.
CV
List of courses
Dissertation (34
MB pdf) and errata
Publications
Decoding for Brain Machine Interfaces
Ifft P, Lebedev MA, Li Z,
& Nicolelis MAL. (2012, October) Bimanual brain-machine interface. (Poster presentation) Society for Neuroscience
2012 Annual Meeting, New Orleans, Louisiana. [ABSTRACT]
O'Doherty JE, Lebedev MA, Li Z,
& Nicolelis MAL. (2012) Virtual Active Touch
Using Randomly Patterned Intracortical Microstimulation. IEEE Transactions on Neural Systems and
Rehabilitation Engineering. 20(1), 85-93. [LINK]
Li Z, O’Doherty
JE, Lebedev MA, & Nicolelis MAL. (2011) Adaptive Decoding for Brain-Machine
Interfaces Through Bayesian Parameter Updates. Neural Computation, 23(12), 3162–3204. [LINK]
Li Z, Tate AJ, Lebedev MA, &
Nicolelis MAL. (2011, November) Software-based scalable multichannel spike acquisition. (Poster presentation) Society for
Neuroscience 2011 Annual meeting, Washington, D.C. [ABSTRACT
Poster PDF]
O’Doherty JE, Lebedev MA, Li Z,
& Nicolelis MAL. (2011, November) Towards a
brain-machine-brain interface with virtual active touch using randomly
patterned intracortical microstimulation.
(Poster presentation) Society for
Neuroscience 2011 Annual meeting, Washington, D.C. [ABSTRACT
Poster PDF]
Lebedev MA, Tate AJ, Hanson TL, Li Z, O'Doherty
JE, Winans JA, Ifft PJ, Zhuang KZ, Fitzsimmons NA, Schwarz DA, Fuller AM, An JH,
& Nicolelis MAL. (2011) Future developments
in brain-machine interface research. Clinics
(Sao Paulo) 66(S1): 25-32. [LINK PDF]
Li Z, O’Doherty
JE, Lebedev MA, & Nicolelis MAL. (2010, November) Closed-loop adaptive
decoding using Bayesian regression self-training. (Poster presentation) Society
for Neuroscience 2010 Annual meeting, San Diego, California. [ABSTRACT Poster PDF]
Han Z, Li
Z, O’Doherty, JE, Lebedev MA, & Nicolelis MAL (2010, November) Decoding self-timed motor behavior with
hidden Markov models. (Poster
presentation) Society for Neuroscience 2010 Annual
Meeting, San
Diego, California. [ABSTRACT
Poster PDF]
Li Z, O'Doherty
JE, Lebedev MA, & Nicolelis MAL. (2009, October) Simultaneous BMI decoding and tuning model
update using Bayesian regression. (Poster presentation) Society
for Neuroscience 2009 Annual Meeting, Chicago, Illinois. [ABSTRACT Poster PDF]
Li Z, O'Doherty
JE, Hanson TL, Lebedev MA, Henriquez CS, & Nicolelis MAL. (2009) Unscented Kalman Filter for Brain-Machine
Interfaces. PLoS ONE 4(7): e6243. [LINK
PDF]
Li Z, O'Doherty
JE, Hanson TL, Lebedev MA, Henriquez CS, & Nicolelis MAL. (2008, November) Unscented Kalman filter for
brain-machine interfaces. (Poster
presentation) Society for Neuroscience 2008 Annual Meeting, Washington, D.C. [ABSTRACT Poster PDF]
Grant BD, Li Z, Hanson TL, O'Doherty JE, Lebedev
MA, & Nicolelis MAL. (2008, November) Multipurpose, expandable suite for brain-machine interfaces.
(Poster presentation) Society for
Neuroscience 2008 Annual Meeting, Washington, D.C. [ABSTRACT
Poster PDF]
Li Z, O'Doherty
JE, Hanson TL, Lebedev MA, Henriquez CS, & Nicolelis MAL. (2007, November) N-th order Kalman
filter improves the performance of a brain machine interface for reaching.
(Poster presentation) Society for Neuroscience 2007 Annual Meeting, San Diego, California. [ABSTRACT Poster PDF]
Grant BD, Li Z, Hanson TL, O'Doherty JE, Lebedev
MA, & Nicolelis MAL. (2007, November) Automated spike sorting of multiunit data for brain-machine interface
applications. (Poster
presentation) Society for Neuroscience 2007 Annual
Meeting, San
Diego, California. [ABSTRACT
Poster PDF]
Computational modeling of human problem solving
Chu Y, Li Z, Su Y, &
Pizlo Z. (2010) Heuristics in problem
solving: The role of direction in controlling search space. Journal of Problem Solving. 3 (1),
27-51. [LINK PDF]
Pizlo Z, Stefanov
E, Saalweachter J, Li Z, Haxhimusa Y, & Kropatsch WG. (2006) Traveling
Salesman Problem: a Foveating Pyramid Model. Journal of Problem Solving. 1 (1),
83-101. [LINK PDF]
Pizlo Z & Li Z. (2005) Solving
combinatorial problems: 15-puzzle. Memory
& Cognition. 33 (6), 1069-1084. [LINK PDF]
Pizlo Z & Li Z. (2004, January) Graph
pyramids as models of human problem solving. Proceedings of the SPIE-IS&T Conference on Electronic Imaging,
Computational Imaging, 5299, pp. 205-215. [LINK]
Li Z & Pizlo Z. (2003, November)
The Role of Mental Representation in Problem Solving. (Poster presentation) 44th Annual Meeting of the Psychonomic
Society, Vancouver, Canada. [ABSTRACT
Poster PDF]
Li Z & Pizlo Z. (2003, July) Pyramid
model of human problem solving. 36th Annual Meeting of
the Society for Mathematical Psychology, Weber State University, Ogden, Utah. [ABSTRACT]
Li Z
& Pizlo Z. (2003, March) Effect of Problem Presentation on Mental Representation and Performance
in the M+M Puzzle. Hoosier Mental Life 2003, Purdue University, West Lafayette, Indiana.
Pizlo Z & Li Z. (2003, February) Human
Problem Solving: A New Direction. Annual
Interdisciplinary Conference, Jackson, Wyoming.
Pizlo Z & Li Z. (2003, January). Pyramid
algorithms as models of human cognition. Proceedings of the SPIE-IS&T Conference on Electronic Imaging,
Computational Imaging, 5016, pp. 1-12. [LINK]
Pizlo Z & Li Z. (2002, November) Direction
and Distance in Human Problem Solving. 43rd Annual
Meeting of the Psychonomic Society, Kansas City, Missouri.
Pizlo Z & Li Z. (2002, July) Problem
solving without search. 35th Annual Meeting of the
Society for Mathematical Psychology, Miami University, Oxford, Ohio.
Contact Information
E-mail address
LZ : bnu edu cn
Last Update: March 8, 2013