Kechen Zhang, PhD
Highlights
Languages
- English
Gender
MaleJohns Hopkins Affiliations:
- Johns Hopkins School of Medicine Faculty
About Kechen Zhang
Primary Academic Title
Associate Professor of Biomedical Engineering
Background
Dr. Kechen Zhang is an assistant professor of biomedical engineering and neuroscience at the Johns Hopkins School of Medicine. His research focuses on theoretical and computational neuroscience.
His team is currently engaged in mathematical analysis and computer simulations to study the nervous system at multiple levels.
Dr. Zhang received his undergraduate degree in biophysics and physiology from Beijing University. He earned his M.S. from Beijing University and his Ph.D. from the University of California, San Diego. He completed postdoctoral training in computational neurobiology at the Salk Institute for Biological Studies in La Jolla, California. Dr. Zhang joined the Johns Hopkins faculty in 2002.
He has reviewed more than 200 papers for academic journals, including the Journal of Cognitive Neuroscience and Nature, as well as dozens of conference papers and several National Science Foundation grant applications. He served on the National Science Foundation computational neuroscience program advisory panel in 2005.
Centers and Institutes
- Basic Biomedical Sciences, Institute for
- Hearing and Balance, Center for
Additional Academic Titles
Associate Professor of Neuroscience
Research Interests
Theoretical/computational neuroscience
Lab Website
Kechen Zhang Laboratory - Lab Website
- The research in the Kecken Zhang Laboratory is focused on theoretical and computational neuroscience. We use mathematical analysis and computer simulations to study the nervous system at multiple levels, from realistic biophysical models to simplified neuronal networks. Several of our current research projects involve close collaborations with experimental neuroscience laboratories.
Research Summary
The research in Dr. Zhang's laboratory is focused on theoretical and computational neuroscience. His research team uses mathematical analysis and computer simulations to study the nervous system at multiple levels, from realistic biophysical models to simplified neuronal networks. Several of their current research projects involve close collaborations with experimental neuroscience laboratories. Collaborative projects include modeling of grid cells and place cells in collaboration with Dr. Tad Blair and Dr. Jim Knierim; statistics of natural shapes in collaboration with Dr. Ed Connor; online adaptive modeling of auditory response in collaboration with Dr. Xiaoqin Wang and Dr. Eric Young.
Google Scholar - Publications
PubMed - Publications
Selected Publications
DiMattina C, Zhang K. "Adaptive stimulus optimization for sensory systems neuroscience." Front Neural Circuits. 2013 Jun 6;7:101. doi: 10.3389/fncir.2013.00101. eCollection 2013.
Issa JB, Zhang K. "Universal conditions for exact path integration in neural systems." Proc Natl Acad Sci U S A. 2012 Apr 24;109(17):6716-20. doi: 10.1073/pnas.1119880109. Epub 2012 Apr 9.
Knierim JJ, Zhang K. "Attractor dynamics of spatially correlated neural activity in the limbic system." Annu Rev Neurosci. 2012;35:267-85. doi: 10.1146/annurev-neuro-062111-150351. Epub 2012 Mar 29.
Monaco JD, Knierim JJ, Zhang K. "Sensory feedback, error correction, and remapping in a multiple oscillator model of place-cell activity." Front Comput Neurosci. 2011 Sep 29;5:39. doi: 10.3389/fncom.2011.00039. eCollection 2011.
Welday AC, Shlifer IG, Bloom ML, Zhang K, Blair HT. "Cosine directional tuning of theta cell burst frequencies: evidence for spatial coding by oscillatory interference." J Neurosci. 2011 Nov 9;31(45):16157-76. doi: 10.1523/JNEUROSCI.0712-11.2011.
Honors
Faculty of 1000, Theoretical Neuroscience, 1/1/02
Professional Activities
National Science Foundation Computational Neuroscience Program, Advisory Panel, 1/1/05
Additional Training
Salk Institute for Biological Studies, La Jolla, CA, 2002, Computational Neurobiology