Armen Stepanyants

Affiliated Faculty,  Bioengineering
Professor,  Physics

Contact

Office

  • 617.373.2944

Research Focus

Theoretical Neuroscience, Bioimaging & Signal Processing, Integrated Modeling, Inference, and Computing.

Education

Ph.D., University of Rhode Island, 1999

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

  • S.M.M. Kahaki, S.L. Wang, A. Stepanyants, Accurate Registration of In Vivo Time-Lapse Images, SPIE Medical Imaging, 10949, 2019, 109491D
  • S.L. Wang, S.M.M. Kahaki, A. Stepanyants, Artificial Neural Network Filters for Enhancing 3D Optical Microscopy Images of Neurites, SPIE Medical Imaging, 10949, 2019, 109490G
  • 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
  • B.E.P Mizusaki, A. Stepanyants, D.B. Chklovskii, P.J. Sjöström, Neocortex: A Lean Mean Memory Storage Machine, Nature Neuroscience, 19(5), 2016, 643-644
  • J. Chapeton, R. Gala, A. Stepanyants, Effects of Homeostatic Constraints on Associative Memory Storage and Synaptic Connectivity of Cortical Circuits, Frontiers in Computational Neuroscience, 9(74), 2015

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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