Stochastic resonance in 2D materials based memristors
Abstract Stochastic resonance is an essential phenomenon in neurobiology, it is connected to the constructive role of noise in the signals that take place in neuronal tissues, facilitating information communication, memory, etc. Memristive devices are known to be the cornerstone of hardware neuromor...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | npj 2D Materials and Applications |
| Online Access: | https://doi.org/10.1038/s41699-024-00444-1 |
| _version_ | 1827327264131383296 |
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| author | J. B. Roldán A. Cantudo J. J. Torres D. Maldonado Yaqing Shen Wenwen Zheng Yue Yuan M. Lanza |
| author_facet | J. B. Roldán A. Cantudo J. J. Torres D. Maldonado Yaqing Shen Wenwen Zheng Yue Yuan M. Lanza |
| author_sort | J. B. Roldán |
| collection | DOAJ |
| description | Abstract Stochastic resonance is an essential phenomenon in neurobiology, it is connected to the constructive role of noise in the signals that take place in neuronal tissues, facilitating information communication, memory, etc. Memristive devices are known to be the cornerstone of hardware neuromorphic applications since they correctly mimic biological synapses in many different facets, such as short/long-term plasticity, spike-timing-dependent plasticity, pair-pulse facilitation, etc. Different types of neural networks can be built with circuit architectures based on memristive devices (mostly spiking neural networks and artificial neural networks). In this context, stochastic resonance is a critical issue to analyze in the memristive devices that will allow the fabrication of neuromorphic circuits. We do so here with h-BN based memristive devices from different perspectives. It is found that the devices we have fabricated and measured clearly show stochastic resonance behaviour. Consequently, neuromorphic applications can be developed to account for this effect, that describes a key issue in neurobiology with strong computational implications. |
| first_indexed | 2024-03-07T14:58:38Z |
| format | Article |
| id | doaj.art-a35da8d990b6472c9b8d68069c7f846f |
| institution | Directory Open Access Journal |
| issn | 2397-7132 |
| language | English |
| last_indexed | 2024-03-07T14:58:38Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj 2D Materials and Applications |
| spelling | doaj.art-a35da8d990b6472c9b8d68069c7f846f2024-03-05T19:17:38ZengNature Portfolionpj 2D Materials and Applications2397-71322024-01-01811610.1038/s41699-024-00444-1Stochastic resonance in 2D materials based memristorsJ. B. Roldán0A. Cantudo1J. J. Torres2D. Maldonado3Yaqing Shen4Wenwen Zheng5Yue Yuan6M. Lanza7Departamento de Electrónica y Tecnología de Computadores. Universidad de Granada. Facultad de Ciencias. Avenida Fuentenueva s/nDepartamento de Electrónica y Tecnología de Computadores. Universidad de Granada. Facultad de Ciencias. Avenida Fuentenueva s/nInstitute “Carlos I” for Theoretical and Computational Physics and Department of Electromagnetism and Matter Physics, University of GranadaDepartamento de Electrónica y Tecnología de Computadores. Universidad de Granada. Facultad de Ciencias. Avenida Fuentenueva s/nMaterials Science and Engineering Program, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST)Materials Science and Engineering Program, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST)Materials Science and Engineering Program, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST)Materials Science and Engineering Program, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST)Abstract Stochastic resonance is an essential phenomenon in neurobiology, it is connected to the constructive role of noise in the signals that take place in neuronal tissues, facilitating information communication, memory, etc. Memristive devices are known to be the cornerstone of hardware neuromorphic applications since they correctly mimic biological synapses in many different facets, such as short/long-term plasticity, spike-timing-dependent plasticity, pair-pulse facilitation, etc. Different types of neural networks can be built with circuit architectures based on memristive devices (mostly spiking neural networks and artificial neural networks). In this context, stochastic resonance is a critical issue to analyze in the memristive devices that will allow the fabrication of neuromorphic circuits. We do so here with h-BN based memristive devices from different perspectives. It is found that the devices we have fabricated and measured clearly show stochastic resonance behaviour. Consequently, neuromorphic applications can be developed to account for this effect, that describes a key issue in neurobiology with strong computational implications.https://doi.org/10.1038/s41699-024-00444-1 |
| spellingShingle | J. B. Roldán A. Cantudo J. J. Torres D. Maldonado Yaqing Shen Wenwen Zheng Yue Yuan M. Lanza Stochastic resonance in 2D materials based memristors npj 2D Materials and Applications |
| title | Stochastic resonance in 2D materials based memristors |
| title_full | Stochastic resonance in 2D materials based memristors |
| title_fullStr | Stochastic resonance in 2D materials based memristors |
| title_full_unstemmed | Stochastic resonance in 2D materials based memristors |
| title_short | Stochastic resonance in 2D materials based memristors |
| title_sort | stochastic resonance in 2d materials based memristors |
| url | https://doi.org/10.1038/s41699-024-00444-1 |
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