DocumentCode
2477166
Title
Modeling neuron-glia interactions: From parametric model to neuromorphic hardware
Author
Ghaderi, Viviane S. ; Allam, Sushmita L. ; Ambert, N. ; Bouteiller, J.-M.C. ; Choma, J. ; Berger, T.W.
Author_Institution
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
3581
Lastpage
3584
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.
Keywords
CMOS integrated circuits; biochemistry; cellular biophysics; diseases; molecular biophysics; neurophysiology; physiological models; astrocytic glutamate transporters; brain; elementary objects; glial cells; glial modulation; glutamate dynamics; input-output properties; large-scale models; microenvironment; nervous system; neuromorphic hardware model; neuron-glia interactions; nonparametric model; parametric model; pathological neural function; physiological system; postsynaptic responses; signal transmission; synaptic modeling platform; tripartite synapse; ultralow power subthreshold CMOS building blocks; CMOS integrated circuits; Computational modeling; Hardware; Neuromorphics; Neurons; Parametric statistics; Semiconductor device modeling; Computers; Humans; Models, Theoretical; Neuroglia; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6090598
Filename
6090598
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