Non-Hebbian learning implementation in light-controlled resistive memory devices.
Non-Hebbian learning is often encountered in different bio-organisms. In these processes, the strength of a synapse connecting two neurons is controlled not only by the signals exchanged between the neurons, but also by an additional factor external to the synaptic structure. Here we show the implem...
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2012
|
Materias: | |
Acceso en línea: | https://doaj.org/article/ba4fdd96a3bf405c99733b3b0fa5cde6 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:ba4fdd96a3bf405c99733b3b0fa5cde6 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:ba4fdd96a3bf405c99733b3b0fa5cde62021-11-18T08:05:02ZNon-Hebbian learning implementation in light-controlled resistive memory devices.1932-620310.1371/journal.pone.0052042https://doaj.org/article/ba4fdd96a3bf405c99733b3b0fa5cde62012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23251679/?tool=EBIhttps://doaj.org/toc/1932-6203Non-Hebbian learning is often encountered in different bio-organisms. In these processes, the strength of a synapse connecting two neurons is controlled not only by the signals exchanged between the neurons, but also by an additional factor external to the synaptic structure. Here we show the implementation of non-Hebbian learning in a single solid-state resistive memory device. The output of our device is controlled not only by the applied voltages, but also by the illumination conditions under which it operates. We demonstrate that our metal/oxide/semiconductor device learns more efficiently at higher applied voltages but also when light, an external parameter, is present during the information writing steps. Conversely, memory erasing is more efficiently at higher applied voltages and in the dark. Translating neuronal activity into simple solid-state devices could provide a deeper understanding of complex brain processes and give insight into non-binary computing possibilities.Mariana UngureanuPablo StoliarRoger LlopisFèlix CasanovaLuis E HuesoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 12, p e52042 (2012) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Mariana Ungureanu Pablo Stoliar Roger Llopis Fèlix Casanova Luis E Hueso Non-Hebbian learning implementation in light-controlled resistive memory devices. |
description |
Non-Hebbian learning is often encountered in different bio-organisms. In these processes, the strength of a synapse connecting two neurons is controlled not only by the signals exchanged between the neurons, but also by an additional factor external to the synaptic structure. Here we show the implementation of non-Hebbian learning in a single solid-state resistive memory device. The output of our device is controlled not only by the applied voltages, but also by the illumination conditions under which it operates. We demonstrate that our metal/oxide/semiconductor device learns more efficiently at higher applied voltages but also when light, an external parameter, is present during the information writing steps. Conversely, memory erasing is more efficiently at higher applied voltages and in the dark. Translating neuronal activity into simple solid-state devices could provide a deeper understanding of complex brain processes and give insight into non-binary computing possibilities. |
format |
article |
author |
Mariana Ungureanu Pablo Stoliar Roger Llopis Fèlix Casanova Luis E Hueso |
author_facet |
Mariana Ungureanu Pablo Stoliar Roger Llopis Fèlix Casanova Luis E Hueso |
author_sort |
Mariana Ungureanu |
title |
Non-Hebbian learning implementation in light-controlled resistive memory devices. |
title_short |
Non-Hebbian learning implementation in light-controlled resistive memory devices. |
title_full |
Non-Hebbian learning implementation in light-controlled resistive memory devices. |
title_fullStr |
Non-Hebbian learning implementation in light-controlled resistive memory devices. |
title_full_unstemmed |
Non-Hebbian learning implementation in light-controlled resistive memory devices. |
title_sort |
non-hebbian learning implementation in light-controlled resistive memory devices. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2012 |
url |
https://doaj.org/article/ba4fdd96a3bf405c99733b3b0fa5cde6 |
work_keys_str_mv |
AT marianaungureanu nonhebbianlearningimplementationinlightcontrolledresistivememorydevices AT pablostoliar nonhebbianlearningimplementationinlightcontrolledresistivememorydevices AT rogerllopis nonhebbianlearningimplementationinlightcontrolledresistivememorydevices AT felixcasanova nonhebbianlearningimplementationinlightcontrolledresistivememorydevices AT luisehueso nonhebbianlearningimplementationinlightcontrolledresistivememorydevices |
_version_ |
1718422253512687616 |