Donanim Ustunde Hebb Ogrenme Kuralinin Gerceklestirilmesi

Hasan Ozdemirci; Neslihan Serap Sengor

doi:10.1109/SIU49456.2020.9302156

Donanim Ustunde Hebb Ogrenme Kuralinin Gerceklestirilmesi

Hasan Ozdemirci
, Neslihan Serap Sengor

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

The approaches developed for intelligent systems are not only inspired from cognitive processes, there are also structures based on the working principles of the brain. Lately, these structures comprise a large amount of studies related to artificial intelligence. The structures developed are largely realized in a software environment. This gives rise to high cost apparently in time and energy. Thus, it is important to generate special purpose hardware. In this work, based on the mathematical model of neuron, Hebbian rule, which is proposed by Hebb for the interaction between two neurons and is related to learning at cell level, is realized on hardware. So, a case for the hardware realization of a learning rule, which is used in constituting autonomous learning systems in artificial intelligence studies, is given.

Tercüme edilen katkı başlığı	Realizing Hebbian Learning Rule on a Hardware
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728172064
DOI'lar	https://doi.org/10.1109/SIU49456.2020.9302156
Yayın durumu	Yayınlandı - 5 Eki 2020
Etkinlik	28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Türkiye Süre: 5 Eki 2020 → 7 Eki 2020

Yayın serisi

Adı	2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	28th Signal Processing and Communications Applications Conference, SIU 2020
Ülke/Bölge	Türkiye
Şehir	Gaziantep
Periyot	5/10/20 → 7/10/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

Keywords

FPGA
Hebbian learning rule
Izhikevich neuron model

Belgeye Erişim

10.1109/SIU49456.2020.9302156

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ozdemirci, H., & Sengor, N. S. (2020). Donanim Ustunde Hebb Ogrenme Kuralinin Gerceklestirilmesi. In 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings Makale 9302156 (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU49456.2020.9302156

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title = "Donanim Ustunde Hebb Ogrenme Kuralinin Gerceklestirilmesi",

abstract = "The approaches developed for intelligent systems are not only inspired from cognitive processes, there are also structures based on the working principles of the brain. Lately, these structures comprise a large amount of studies related to artificial intelligence. The structures developed are largely realized in a software environment. This gives rise to high cost apparently in time and energy. Thus, it is important to generate special purpose hardware. In this work, based on the mathematical model of neuron, Hebbian rule, which is proposed by Hebb for the interaction between two neurons and is related to learning at cell level, is realized on hardware. So, a case for the hardware realization of a learning rule, which is used in constituting autonomous learning systems in artificial intelligence studies, is given.",

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Ozdemirci, H & Sengor, NS 2020, Donanim Ustunde Hebb Ogrenme Kuralinin Gerceklestirilmesi. in 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings., 9302156, 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 28th Signal Processing and Communications Applications Conference, SIU 2020, Gaziantep, Türkiye, 5/10/20. https://doi.org/10.1109/SIU49456.2020.9302156

Donanim Ustunde Hebb Ogrenme Kuralinin Gerceklestirilmesi. / Ozdemirci, Hasan; Sengor, Neslihan Serap.
2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9302156 (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Donanim Ustunde Hebb Ogrenme Kuralinin Gerceklestirilmesi

AU - Ozdemirci, Hasan

AU - Sengor, Neslihan Serap

PY - 2020/10/5

Y1 - 2020/10/5

N2 - The approaches developed for intelligent systems are not only inspired from cognitive processes, there are also structures based on the working principles of the brain. Lately, these structures comprise a large amount of studies related to artificial intelligence. The structures developed are largely realized in a software environment. This gives rise to high cost apparently in time and energy. Thus, it is important to generate special purpose hardware. In this work, based on the mathematical model of neuron, Hebbian rule, which is proposed by Hebb for the interaction between two neurons and is related to learning at cell level, is realized on hardware. So, a case for the hardware realization of a learning rule, which is used in constituting autonomous learning systems in artificial intelligence studies, is given.

AB - The approaches developed for intelligent systems are not only inspired from cognitive processes, there are also structures based on the working principles of the brain. Lately, these structures comprise a large amount of studies related to artificial intelligence. The structures developed are largely realized in a software environment. This gives rise to high cost apparently in time and energy. Thus, it is important to generate special purpose hardware. In this work, based on the mathematical model of neuron, Hebbian rule, which is proposed by Hebb for the interaction between two neurons and is related to learning at cell level, is realized on hardware. So, a case for the hardware realization of a learning rule, which is used in constituting autonomous learning systems in artificial intelligence studies, is given.

KW - FPGA

KW - Hebbian learning rule

KW - Izhikevich neuron model

UR - https://www.scopus.com/pages/publications/85100288081

U2 - 10.1109/SIU49456.2020.9302156

DO - 10.1109/SIU49456.2020.9302156

M3 - Konferans katkısı

AN - SCOPUS:85100288081

T3 - 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

BT - 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 28th Signal Processing and Communications Applications Conference, SIU 2020

Y2 - 5 October 2020 through 7 October 2020

ER -

Ozdemirci H, Sengor NS. Donanim Ustunde Hebb Ogrenme Kuralinin Gerceklestirilmesi. In 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9302156. (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings). doi: 10.1109/SIU49456.2020.9302156

Donanim Ustunde Hebb Ogrenme Kuralinin Gerceklestirilmesi

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap