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dc.contributor.authorEl-Maksoud, Ahmed J. Abd
dc.contributor.authorElmasry, Youssef O.
dc.contributor.authorSalama, Khaled N.
dc.contributor.authorMostafa, Hassan
dc.date.accessioned2019-05-21T13:00:48Z
dc.date.available2019-05-21T13:00:48Z
dc.date.issued2019-02-28
dc.identifier.citationEl-Maksoud AJA, Elmasry YO, Salama KN, Mostafa H (2018) ASIC Oriented Comparative Analysis Of Biologically Inspired Neuron Models. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS). Available: http://dx.doi.org/10.1109/MWSCAS.2018.8623858.
dc.identifier.doi10.1109/MWSCAS.2018.8623858
dc.identifier.urihttp://hdl.handle.net/10754/652977
dc.description.abstractThis paper introduces the hardware and the ASIC implementations of the four most popular biologically inspired neuron models. The models are quartic, Izhikevich, Hindmarsh Rose and Fitzhugh-Nagumo. Moreover, some approximate computing techniques are applied on these models to reduce the area and power consumption. In addition, ASIC implementations of these models and their approximate versions are carried out. Also, spiking behavior error between these models and the Hodgkin Huxley model, the reference accurate model, is presented. Finally, a fair comparative analysis is discussed to help the Spiking Neural Networks designers to select the best neuron model hardware implementation from the power, area and accuracy perspectives.
dc.description.sponsorshipThis research was partially funded by ONE Lab at Cairo University, Zewail City of Science and Technology, and KAUST.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8623858
dc.subjectBiologically inspired models
dc.subjectNeuromorphic computing
dc.subjectSpiking neural networks
dc.titleASIC Oriented Comparative Analysis Of Biologically Inspired Neuron Models
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)
dc.conference.date2018-08-05 to 2018-08-08
dc.conference.name61st IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2018
dc.conference.locationWindsor, ON, CAN
dc.contributor.institutionElectronics and Communications Engineering Department, Cairo University, Giza, 12613, , Egypt
dc.contributor.institutionNanotechnology and Nanoelectronics Program, Zewail City for Science and Technology, , Egypt
kaust.personSalama, Khaled N.


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