Cargando…

Hardware Realization of the Pattern Recognition with an Artificial Neuromorphic Device Exhibiting a Short-Term Memory

Materials exhibiting memory or those capable of implementing certain learning schemes are the basic building blocks used in hardware realizations of the neuromorphic computing. One of the common goals within this paradigm assumes the integration of hardware and software solutions, leading to a subst...

Descripción completa

Detalles Bibliográficos
Autores principales: Przyczyna, Dawid, Lis, Maria, Pilarczyk, Kacper, Szaciłowski, Konrad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6696233/
https://www.ncbi.nlm.nih.gov/pubmed/31357695
http://dx.doi.org/10.3390/molecules24152738
_version_ 1783444222278369280
author Przyczyna, Dawid
Lis, Maria
Pilarczyk, Kacper
Szaciłowski, Konrad
author_facet Przyczyna, Dawid
Lis, Maria
Pilarczyk, Kacper
Szaciłowski, Konrad
author_sort Przyczyna, Dawid
collection PubMed
description Materials exhibiting memory or those capable of implementing certain learning schemes are the basic building blocks used in hardware realizations of the neuromorphic computing. One of the common goals within this paradigm assumes the integration of hardware and software solutions, leading to a substantial efficiency enhancement in complex classification tasks. At the same time, the use of unconventional approaches towards signal processing based on information carriers other than electrical carriers seems to be an interesting trend in the design of modern electronics. In this context, the implementation of light-sensitive elements appears particularly attractive. In this work, we combine the abovementioned ideas by using a simple optoelectronic device exhibiting a short-term memory for a rudimentary classification performed on a handwritten digits set extracted from the Modified National Institute of Standards and Technology Database (MNIST)(being one of the standards used for benchmarking of such systems). The input data was encoded into light pulses corresponding to black (ON-state) and white (OFF-state) pixels constituting a digit and used in this form to irradiate a polycrystalline cadmium sulfide electrode. An appropriate selection of time intervals between pulses allows utilization of a complex kinetics of charge trapping/detrapping events, yielding a short-term synaptic-like plasticity which in turn leads to the improvement of data separability. To the best of our knowledge, this contribution presents the simplest hardware realization of a classification system capable of performing neural network tasks without any sophisticated data processing.
format Online
Article
Text
id pubmed-6696233
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-66962332019-09-05 Hardware Realization of the Pattern Recognition with an Artificial Neuromorphic Device Exhibiting a Short-Term Memory Przyczyna, Dawid Lis, Maria Pilarczyk, Kacper Szaciłowski, Konrad Molecules Article Materials exhibiting memory or those capable of implementing certain learning schemes are the basic building blocks used in hardware realizations of the neuromorphic computing. One of the common goals within this paradigm assumes the integration of hardware and software solutions, leading to a substantial efficiency enhancement in complex classification tasks. At the same time, the use of unconventional approaches towards signal processing based on information carriers other than electrical carriers seems to be an interesting trend in the design of modern electronics. In this context, the implementation of light-sensitive elements appears particularly attractive. In this work, we combine the abovementioned ideas by using a simple optoelectronic device exhibiting a short-term memory for a rudimentary classification performed on a handwritten digits set extracted from the Modified National Institute of Standards and Technology Database (MNIST)(being one of the standards used for benchmarking of such systems). The input data was encoded into light pulses corresponding to black (ON-state) and white (OFF-state) pixels constituting a digit and used in this form to irradiate a polycrystalline cadmium sulfide electrode. An appropriate selection of time intervals between pulses allows utilization of a complex kinetics of charge trapping/detrapping events, yielding a short-term synaptic-like plasticity which in turn leads to the improvement of data separability. To the best of our knowledge, this contribution presents the simplest hardware realization of a classification system capable of performing neural network tasks without any sophisticated data processing. MDPI 2019-07-28 /pmc/articles/PMC6696233/ /pubmed/31357695 http://dx.doi.org/10.3390/molecules24152738 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Przyczyna, Dawid
Lis, Maria
Pilarczyk, Kacper
Szaciłowski, Konrad
Hardware Realization of the Pattern Recognition with an Artificial Neuromorphic Device Exhibiting a Short-Term Memory
title Hardware Realization of the Pattern Recognition with an Artificial Neuromorphic Device Exhibiting a Short-Term Memory
title_full Hardware Realization of the Pattern Recognition with an Artificial Neuromorphic Device Exhibiting a Short-Term Memory
title_fullStr Hardware Realization of the Pattern Recognition with an Artificial Neuromorphic Device Exhibiting a Short-Term Memory
title_full_unstemmed Hardware Realization of the Pattern Recognition with an Artificial Neuromorphic Device Exhibiting a Short-Term Memory
title_short Hardware Realization of the Pattern Recognition with an Artificial Neuromorphic Device Exhibiting a Short-Term Memory
title_sort hardware realization of the pattern recognition with an artificial neuromorphic device exhibiting a short-term memory
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6696233/
https://www.ncbi.nlm.nih.gov/pubmed/31357695
http://dx.doi.org/10.3390/molecules24152738
work_keys_str_mv AT przyczynadawid hardwarerealizationofthepatternrecognitionwithanartificialneuromorphicdeviceexhibitingashorttermmemory
AT lismaria hardwarerealizationofthepatternrecognitionwithanartificialneuromorphicdeviceexhibitingashorttermmemory
AT pilarczykkacper hardwarerealizationofthepatternrecognitionwithanartificialneuromorphicdeviceexhibitingashorttermmemory
AT szaciłowskikonrad hardwarerealizationofthepatternrecognitionwithanartificialneuromorphicdeviceexhibitingashorttermmemory