Neuromorphic and Neural Networks, a Comprehensive Review

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.

Keywords:

VLSI , Neuromorphic , Memristor , IFN

Authors

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

Certificate
من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

https://civilica.com/doc/1261197

شناسه ملی سند علمی:

ITCT12_032

تاریخ نمایه سازی: 7 شهریور 1400

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:

Maleki, Sajad and Azmi, Reza and Layeghi, Kamran and Mohseni, Aida,1400,Neuromorphic and Neural Networks, a Comprehensive Review,Twelfth International Conference on Information Technology, Computer and Telecommunications,https://civilica.com/doc/1261197

Scientometrics

The specifications of the publisher center of this Paper are as follows:

Ranking of Islamic Azad University of North Tehran

Type of center: Azad University

Paper count: 12,598

In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

مقالات مرتبط جدید