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Armen R Sargsyan

Armen R Sargsyan
KaosKey Pty. Ltd. Sydney Australia

Ph.D.

About

8
Publications
712
Reads
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63
Citations
Introduction
Researcher and algorithms/software developer in the fields of Computational Neuroscience and Biomedical Signal Processing. Currently focused on epilepsy research and related EEG analysis and seizure detection algorithms.
Additional affiliations
April 2000 - September 2009
Neuro-Tec Limited
Position
  • Group Leader
Description
  • The team was responsible for development of software applications for magnetoencephalography data mining, analysis and processing. The main customer for the software was the Laboratory for Human Brain Dynamics, RIKEN Brain Science Institute, Japan.
August 1999 - September 1999
RIKEN
Position
  • Researcher
September 1985 - January 2013
L. A. Orbeli Institute of Physiology NAS RA
Position
  • Senior Researcher
Description
  • Neuronal systems modelling and bioelectrical signals processing, modeling of short- and long-term synaptic plasticity, realistic neuronal networks with dynamic synapses, modeling of extracellular field potentials generated by large neuronal populations.
Education
September 1980 - June 1985
Yerevan Polytechnic Institute (State Engineering University of Armenia)
Field of study
  • Automated Control Systems

Publications

Publications (8)
Article
Objective Prolonged electroencephalographic (EEG) monitoring in chronic epilepsy rodent models has become an important tool in preclinical drug development of new therapies, in particular those for antiepileptogenesis, disease modification, and treating drug‐resistant epilepsy. We have developed an easy‐to‐use, reliable, computational tool for auto...
Article
Full-text available
A method for estimating the synaptic current distribution is described, which is based on solving the inverse problem for a system of homogeneously distributed parallel cylinders as a model of dendrites of the pyramidal neurons. The estimates are compared with the data known from literature and those obtained in an independent model.
Article
Full-text available
We suggest a new method for calculation of extracellular field potentials generated by a large population of pyramidal cells (PCs), using a single PC compartmental model. Similar methods described earlier use the assumption that the intracellular potential or current distributions of the cells within the population are much alike as a result of sim...
Article
Activity-dependent synaptic plasticity has important implications for network function. The previously developed model of the hippocampal CA1 area, which contained pyramidal cells (PC) and two types of interneurons involved in feed-forward and recurrent inhibition, respectively, and received synaptic inputs from CA3 neurons via the Schaffer collate...
Article
Full-text available
We propose a general computer model of a synapse, which incorporates mechanisms responsible for the realization of both short- and long-term synaptic plasticity-the two forms of experimentally observed plasticity that seem to be very significant for the performance of neuronal networks. The model consists of a presynaptic part based on the earlier...
Article
Full-text available
A computer model of the hippocampal CA1 area, which receives synaptic inputs from CA3 neurons via the Schaffer collaterals, was constructed. Pyramidal cells (PC) and two types of interneurons were represented by compartmental models, and mechanisms of feed-forward inhibition (FFI) and recurrent inhibition were incorporated. Four types of receptor m...

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Projects

Projects (2)
Project
We are developing algorithms and software for automated seizure detection in long-term EEG recordings. Our first product, ASSYST, is a tool that will help researchers to significantly facilitate the process of seizure, spike-wave discharges and other epileptiform activity identification in prolonged (days, weeks, months) continuous EEG recordings from rodents. More here: http://www.kaoskey.com