Imperial College London
Alternate

ProfessorEmm MicDrakakis

Faculty of Engineering, Department of Bioengineering

Professor of Bio-Circuits and Systems
 
 
 
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Contact

 

e.drakakis Website

 
 
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Location

 

B207Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Soleimani:2018:10.1109/TCSII.2017.2697826,
author = {Soleimani, H and Drakakis, EM},
doi = {10.1109/TCSII.2017.2697826},
journal = {IEEE Transactions on Circuits and Systems II: Express Briefs},
pages = {91--95},
title = {An efficient and reconfigurable synchronous neuron model},
url = {http://dx.doi.org/10.1109/TCSII.2017.2697826},
volume = {65},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This brief presents a reconfigurable and efficient 2-D neuron model capable of extending to higher dimensions. The model is applied to the Izhikevich and FitzHugh-Nagumo neuron models as 2-D case studies and to the Hindmarsh-Rose model as a 3-D case study. Hardware synthesis and physical implementations show that the resulting circuits can reproduce neural dynamics with acceptable precision and considerably low hardware overhead compared to previously published piecewise linear models.
AU  - Soleimani,H
AU  - Drakakis,EM
DO  - 10.1109/TCSII.2017.2697826
EP  - 95
PY  - 2018///
SN  - 1549-7747
SP  - 91
TI  - An efficient and reconfigurable synchronous neuron model
T2  - IEEE Transactions on Circuits and Systems II: Express Briefs
UR  - http://dx.doi.org/10.1109/TCSII.2017.2697826
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000418867400019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/56641
VL  - 65
ER  -
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