Literature DB >> 22255113

Modeling neuron-glia interactions: from parametric model to neuromorphic hardware.

Viviane S Ghaderi1, Sushmita L Allam, N Ambert, J-M C Bouteiller, J Choma, T W Berger.   

Abstract

Recent experimental evidence suggests that glial cells are more than just supporting cells to neurons - they play an active role in signal transmission in the brain. We herein propose to investigate the importance of these mechanisms and model neuron-glia interactions at synapses using three approaches: A parametric model that takes into account the underlying mechanisms of the physiological system, a non-parametric model that extracts its input-output properties, and an ultra-low power, fast processing, neuromorphic hardware model. We use the EONS (Elementary Objects of the Nervous System) platform, a highly elaborate synaptic modeling platform to investigate the influence of astrocytic glutamate transporters on postsynaptic responses in the detailed micro-environment of a tri-partite synapse. The simulation results obtained using EONS are then used to build a non-parametric model that captures the essential features of glutamate dynamics. The structure of the non-parametric model we use is specifically designed for efficient hardware implementation using ultra-low power subthreshold CMOS building blocks. The utilization of the approach described allows us to build large-scale models of neuron/glial interaction and consequently provide useful insights on glial modulation during normal and pathological neural function.

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Year:  2011        PMID: 22255113     DOI: 10.1109/IEMBS.2011.6090598

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Modeling Nonlinear Synaptic Dynamics: A Laguerre-Volterra Network Framework for Improved Computational Efficiency in Large Scale Simulations.

Authors:  Eric Y Hu; Gene Yu; Dong Song; C Jean-Marie Bouteiller; W Theodore Berger
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2018-07

2.  The volterra functional series is a viable alternative to kinetic models for synaptic modeling--calibration and benchmarking.

Authors:  Eric Y Hu; Jean-Marie C Bouteiller; Dong Song; Theodore W Berger
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015

3.  Volterra representation enables modeling of complex synaptic nonlinear dynamics in large-scale simulations.

Authors:  Eric Y Hu; Jean-Marie C Bouteiller; Dong Song; Michel Baudry; Theodore W Berger
Journal:  Front Comput Neurosci       Date:  2015-09-17       Impact factor: 2.380

4.  A Glutamatergic Spine Model to Enable Multi-Scale Modeling of Nonlinear Calcium Dynamics.

Authors:  Eric Hu; Adam Mergenthal; Clayton S Bingham; Dong Song; Jean-Marie Bouteiller; Theodore W Berger
Journal:  Front Comput Neurosci       Date:  2018-07-27       Impact factor: 2.380

  4 in total

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