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
Link To Document :
بازگشت