Neuromorphic and Neural Networks, a Comprehensive Review
سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 342
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شناسه ملی سند علمی:
ITCT12_032
تاریخ نمایه سازی: 7 شهریور 1400
چکیده مقاله:
This paper reviews brain-inspired architectures that perform computational tasks through communication pulses between large networks of neurons powered by synapses between each neuron and local storage memory. In addition, since synapses are connected to activate such a brain chip, neuromorphic architecture combined with CMOS pulse neurons and stable nanoscale synapses, so we survey IFN and memristors.
کلیدواژه ها:
نویسندگان
Sajad Maleki
Faculty of Electrical and Computer Engineering, Islamic Azad University, Tehran North Branch, Tehran, Iran
Reza Azmi
Computer Engineering Department, Alzahra University
Kamran Layeghi
Faculty of Electrical and Computer Engineering, Islamic Azad University, Tehran North Branch, Tehran, Iran
Aida Mohseni
Faculty of Electrical and Computer Engineering, Islamic Azad University, Tehran North Branch, Tehran, Iran