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.
| Translated title of the contribution | Realizing Hebbian Learning Rule on a Hardware |
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| Original language | Turkish |
| Title of host publication | 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728172064 |
| DOIs | |
| Publication status | Published - 5 Oct 2020 |
| Event | 28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey Duration: 5 Oct 2020 → 7 Oct 2020 |
Publication series
| Name | 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings |
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Conference
| Conference | 28th Signal Processing and Communications Applications Conference, SIU 2020 |
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| Country/Territory | Turkey |
| City | Gaziantep |
| Period | 5/10/20 → 7/10/20 |
Bibliographical note
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