Armen Stepanyants
Affiliated Faculty, Bioengineering
Professor, Physics
Contact
- a.stepanyants@northeastern.edu
- 121 Dana Research Center
360 Huntington Avenue
Boston, Massachusetts 02115
Office
- 617.373.2944
Related Links
Research Focus
Theoretical Neuroscience, Bioimaging & Signal Processing, Integrated Modeling, Inference, and Computing.
Education
Ph.D., University of Rhode Island, 1999
Honors & Awards
- NIH/NINDS K25 Mentored Quantitative Career Development Award
- Shared first prize at Digital Reconstruction of Axonal and Dendritic Morphology (DIADEM) challenge
Research Overview
Theoretical Neuroscience, Bioimaging & Signal Processing, Integrated Modeling, Inference, and Computing.
Selected Research Projects
- Principles of Robust Learning Derived from the Structure and Function of the Cortical Column
- – Principal Investigator, Air Force
- Software for Automated Reconstruction of Structure and Dynamics of Neural Circuits
- – Principal Investigator, National Institutes of Health
- RI Small: Theory of Robust Learning in the Brain
- – Principal Investigator, National Science Foundation
Selected Publications
- C. Zhang, D. Zhang, A. Stepanyants, Noise in Neurons and Synapses Enables Reliable Associative Memory Storage in Local Cortical Circuits, 8(1), eNeuro, 2021
- S.M.M. Kahaki, H. Deng, A. Stepanyants, Correction of Topological Errors in Automated Traces of Neurites, SPIE Medical Imaging, 11596, 2021, 115961Q
- S.M.M. Kahaki, S.L. Wang, A. Stepanyants, Accurate Registration of In Vivo Time-Lapse Images, SPIE Medical Imaging, 10949, 2019, 109491D
- D. Zhang, C. Zhang, A. Stepanyants, Robust Associative Learning is Sufficient to Explain the Structural and Dynamical Properties of Local Cortical Circuits, Journal of Neuroscience, 2019, 3218
- R. Gala, D. Lebrecht, D.A. Sahlender, A. Jorstad, G. Knott, A. Holtmaat, A. Stepanyants, Computer Assisted Detection of Axonal Bouton Structural Plasticity in In Vivo Time-Lapse Images, eLife, 6, 2017, e29315
Apr 09, 2019
FY20 TIER 1 Award Recipients
25 COE faculty and affiliates were recipients of FY20 TIER 1 Interdisciplinary Research Seed Grants for 18 different projects representing up to $900K dollars of investment in research.