Multiple perspectives on the hardware implementations of biological neuron   models and programmable design aspects

Nimet KORKMAZ; İsmail ÖZTÜRK; Recai KILIÇ

Article Details

Multiple perspectives on the hardware implementations of biological neuron models and programmable design aspects

Authors:

Nimet KORKMAZ | İsmail ÖZTÜRK | Recai KILIÇ

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1729-1746

Document Type:

Article

Publication Date:

5/2016

Document Language:

Turkish

Document ID (Org No.):

2000742154

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

A few individual design examples of programmable   device-based biological neuron model implementations are available in the   literature, but there is no comprehensive study that examines analog and   digital programmable design examples of frequently studied biological neuron   model implementations. The aim of this paper is to present a comparative   study about programmable and reconfigurable implementations of the   FitzHugh--Nagumo, Izhikevich, and Hindmarsh--Rose neuron models. Since field   programmable analog array (FPAA) and field programmable gate array (FPGA)   devices offer several advantages such as flexible design possibilities,   reduction of the complexity of design, real-time modification, and software   control for programmable and reconfigurable implementations of neuron models   and neural structures, they are preferred in these implementations as analog   and digital programmable devices. Experimental results agree with the   numerical simulations and verify the design effectiveness of FPAA- and   FPGA-based implementations.

Article Details

Multiple perspectives on the hardware implementations of biological neuron models and programmable design aspects

Authors: Nimet KORKMAZ | İsmail ÖZTÜRK | Recai KILIÇ

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1729-1746

Document Type: Article

Publication Date: 5/2016

Document Language: Turkish

Document ID (Org No.): 2000742154

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Nimet KORKMAZ | İsmail ÖZTÜRK | Recai KILIÇ

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1729-1746

Document Type:

Article

Publication Date:

5/2016

Document Language:

Turkish

Document ID (Org No.):

2000742154

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632