04 مرداد 1403
سهراب مجيدي فر

سهراب مجیدی فر

مرتبه علمی: استادیار
نشانی:
تحصیلات: دکترای تخصصی / مهندسی برق (الکترونیک)
تلفن: 1105
دانشکده: دانشکده مهندسی برق

مشخصات پژوهش

عنوان
Low Cost Digital Implementation of Hybrid FitzHugh Nagumo–Morris Lecar Neuron Model Considering Electromagnetic Flux Coupling
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
FitzHugh–Nagumo (FN) model, morris-lecar (ML) model, hybrid neuron model, electromagnetic flux coupling.
پژوهشگران سهراب مجیدی فر (نفر اول)، محسن حیاتی (نفر دوم)، مزدک رادملکشاهی (نفر سوم)، درک ابوت (نفر چهارم)

چکیده

Digital realization of neuron models, especially implementation on a field programmable gate array (FPGA), is one of the key objectives of neuromorphic research, because the effective hardware realization of the biological neural networks plays a crucial role in implementing the behaviors of the brain for future applications. In this paper, a hybrid FitzHugh Nagumo-Morris Lecar (FNML) neuron model with electromagnetic flux coupling is considered, and two multiplierless piecewise linear (PWL) models, which have similar behaviors to the biological neuron, are presented. A comparison between digital implementation results of the original FNML and PWL models illustrates that, the PWL1 model provides a 65% speed-up with an overall saving (in FPGA resources) of 66.2%, and the PWL2 model yields a 71% speed-up with an overall saving of 78.2%.