Armen Stepanyants

Affiliated Faculty,  Bioengineering
Professor,  Physics

Contact

Office

  • 617.373.2944

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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

Faculty

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.

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