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Linear and Nonlinear Electrical Models of Neurons for Hopfield Neural Network
KTH, School of Information and Communication Technology (ICT), Integrated Devices and Circuits.
2016 (English)In: Zeitschrift fur Naturforschung A-A Journal of Physical Sciences, ISSN 0932-0784, E-ISSN 1865-7109, Vol. 71, no 11, 995-1002 p.Article in journal (Refereed) Published
Abstract [en]

A novel electrical model of neuron is proposed in this presentation. The suggested neural network model has linear/nonlinear input-output characteristics. This new deterministic model has joint biological properties in excellent agreement with the earlier deterministic neuron model of Hopfield and Tank and to the stochastic neuron model of McCulloch and Pitts. It is an accurate portrayal of differential equation presented by Hopfield and Tank to mimic neurons. Operational amplifiers, resistances, capacitor, and diodes are used to design this system. The presented biological model of neurons remains to be advantageous for simulations. Impulse response is studied and conferred to certify the stability and strength of this innovative model. A simple illustration is mapped to demonstrate the exactness of the intended system. Precisely mapped illustration exhibits 100 % accurate results.

Place, publisher, year, edition, pages
2016. Vol. 71, no 11, 995-1002 p.
Keyword [en]
Hopfield Neural Network, Linear/Nonlinear Model, Neural Network Hardware, Neural Network Processing
National Category
Physical Chemistry
Identifiers
URN: urn:nbn:se:kth:diva-196981DOI: 10.1515/zna-2016-0161ISI: 000386908900003Scopus ID: 2-s2.0-84995938244OAI: oai:DiVA.org:kth-196981DiVA: diva2:1055941
Note

QC 20161213

Available from: 2016-12-13 Created: 2016-11-28 Last updated: 2016-12-13Bibliographically approved

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Hussain, Muhammad Waqar
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