DocumentCode
3186638
Title
Insights on synaptic paired-pulse response using parametric and non-parametric models
Author
Bouteiller, Jean-Marie C. ; Hu, E. ; Allam, Sushmita L. ; Ghaderi, Viviane ; Dong Song ; Berger, Theodore W.
Author_Institution
Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear
2013
fDate
3-7 July 2013
Firstpage
1041
Lastpage
1044
Abstract
Paired-pulse protocol is a well-established stimulation pattern used to characterize short-term changes in synaptic potency. Due to the experimental difficulty in accessing and measuring responses and interactions between subsynaptic elements, understanding the mechanisms that shape synaptic response is extremely challenging. We already proposed to address this issue and gain insights on the matter using a complex integrated modeling platform called EONS (Elementary Objects of the Nervous System). The use of this parametric platform provided us with insightful information on the subsynaptic components and how their interactions shape synaptic dynamics. We herein propose to add and combine a non-parametric model to (i) simplify the modeling framework, the number of underlying parameters and the overall computational complexity while faithfully maintaining the desirable synaptic behavior and (ii) provide a clear and concise framework to characterize AMPA and NMDA contributions to the observed paired-pulse responses.
Keywords
bioelectric phenomena; brain models; neurophysiology; statistical analysis; AMPA contribution; EONS; Elementary Objects of the Nervous System; NMDA contribution; integrated modeling platform; nonparametric models; paired pulse protocol; parametric platform; stimulation pattern; subsynaptic elements; synaptic paired pulse response; synaptic potency short term change; synaptic response; Biological system modeling; Biomedical engineering; Calcium; Computational modeling; Educational institutions; Hidden Markov models; Parametric statistics; Animals; Electrophysiological Phenomena; Humans; Models, Neurological; Receptors, AMPA; Receptors, N-Methyl-D-Aspartate; Statistics, Nonparametric; Synapses;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location
Osaka
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2013.6609682
Filename
6609682
Link To Document