Mimicking Classical Conditioning of Fear Using a Dynamic Synaptic Memristor
Abstract The growing demand for energy‐efficient computing has prompted investigations into the diverse functionalities of resistive switching memristors, which show promise for neuromorphic computing. These memristors can emulate artificial synapses, nociceptors, and computational capabilities like...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2025-03-01
|
| Series: | Advanced Electronic Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aelm.202400493 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850069492044922880 |
|---|---|
| author | Dongyeol Ju Sungjun Kim |
| author_facet | Dongyeol Ju Sungjun Kim |
| author_sort | Dongyeol Ju |
| collection | DOAJ |
| description | Abstract The growing demand for energy‐efficient computing has prompted investigations into the diverse functionalities of resistive switching memristors, which show promise for neuromorphic computing. These memristors can emulate artificial synapses, nociceptors, and computational capabilities like reservoir computing. However, the integration of emotions, a critical aspect of brain function, remains unexplored in memristors. This study explores the emulation of fear, a crucial emotion that enables individuals to avoid potential danger through learned behavior, using a two‐terminal Al/NbOx/Pt memristor structure. Leveraging the volatile behavior and non‐filamentary switching mechanism of the memristor, synaptic functions and synaptic plasticity changes based on incoming spikes are mimicked. Furthermore, classical fear conditioning is employed to demonstrate fear simulation within the memristor, including the crucial aspects of extinction, generalization, and avoidance. The results showcase the potential of the Al/NbOx/Pt memristor for efficient synapse emulation and neuromorphic applications, as well as its ability to provide enhanced insights into brain function through emotion emulation, enabling versatile future applications of the memristive device. |
| format | Article |
| id | doaj-art-6f9a72dcb2d44e5aa42e20d8f7ecc1cd |
| institution | DOAJ |
| issn | 2199-160X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Advanced Electronic Materials |
| spelling | doaj-art-6f9a72dcb2d44e5aa42e20d8f7ecc1cd2025-08-20T02:47:46ZengWiley-VCHAdvanced Electronic Materials2199-160X2025-03-01113n/an/a10.1002/aelm.202400493Mimicking Classical Conditioning of Fear Using a Dynamic Synaptic MemristorDongyeol Ju0Sungjun Kim1Division of Electronics and Electrical Engineering Dongguk University Seoul 04620 Republic of KoreaDivision of Electronics and Electrical Engineering Dongguk University Seoul 04620 Republic of KoreaAbstract The growing demand for energy‐efficient computing has prompted investigations into the diverse functionalities of resistive switching memristors, which show promise for neuromorphic computing. These memristors can emulate artificial synapses, nociceptors, and computational capabilities like reservoir computing. However, the integration of emotions, a critical aspect of brain function, remains unexplored in memristors. This study explores the emulation of fear, a crucial emotion that enables individuals to avoid potential danger through learned behavior, using a two‐terminal Al/NbOx/Pt memristor structure. Leveraging the volatile behavior and non‐filamentary switching mechanism of the memristor, synaptic functions and synaptic plasticity changes based on incoming spikes are mimicked. Furthermore, classical fear conditioning is employed to demonstrate fear simulation within the memristor, including the crucial aspects of extinction, generalization, and avoidance. The results showcase the potential of the Al/NbOx/Pt memristor for efficient synapse emulation and neuromorphic applications, as well as its ability to provide enhanced insights into brain function through emotion emulation, enabling versatile future applications of the memristive device.https://doi.org/10.1002/aelm.202400493artificial synapsefear conditioningneuromorphic computingvolatile memristor |
| spellingShingle | Dongyeol Ju Sungjun Kim Mimicking Classical Conditioning of Fear Using a Dynamic Synaptic Memristor Advanced Electronic Materials artificial synapse fear conditioning neuromorphic computing volatile memristor |
| title | Mimicking Classical Conditioning of Fear Using a Dynamic Synaptic Memristor |
| title_full | Mimicking Classical Conditioning of Fear Using a Dynamic Synaptic Memristor |
| title_fullStr | Mimicking Classical Conditioning of Fear Using a Dynamic Synaptic Memristor |
| title_full_unstemmed | Mimicking Classical Conditioning of Fear Using a Dynamic Synaptic Memristor |
| title_short | Mimicking Classical Conditioning of Fear Using a Dynamic Synaptic Memristor |
| title_sort | mimicking classical conditioning of fear using a dynamic synaptic memristor |
| topic | artificial synapse fear conditioning neuromorphic computing volatile memristor |
| url | https://doi.org/10.1002/aelm.202400493 |
| work_keys_str_mv | AT dongyeolju mimickingclassicalconditioningoffearusingadynamicsynapticmemristor AT sungjunkim mimickingclassicalconditioningoffearusingadynamicsynapticmemristor |