Study of synaptic properties of honey thin film for neuromorphic systems
Source abstract
Abstract
Abstract Besides conventional electrical properties, materials for emerging artificial synaptic devices in brain-inspired neuromorphic systems need to have properties analogous to those of biological synapses, such as synaptic plasticity. In this work, we investigated, for the first time, the synaptic properties of a natural bio-organic material – honey. The honey film was sandwiched between Ag and ITO to form a structure resembling biological synapse. Neural facilitation, an essential synaptic plasticity, was demonstrated by honey thin film with a larger facilitation index, wider interval time range and higher dynamic filtering gain than other natural bio-organic materials. The results indicate that honey is promising for renewable artificial synaptic devices.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Conducting polymers and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (20)
Show source-provided references
1. Brain-inspired computing with resistive switching memory (RRAM): devices, synapses and neural networks10.1016/j.mee.2018.01.009 ↗
2. Building memory devices from biocomposite electronic materials10.1080/14686996.2020.1725395 ↗
3. Investigation of honey thin film as a resistive switching material for nonvolatile memories10.1016/j.matlet.2020.127796 ↗
4. A fresh look at paired-pulse facilitation10.1038/35072519 ↗
5. Artificial synaptic devices based on natural chicken albumen coupled electric-double-layer transistors10.1038/srep23578 ↗
6. Chitosan-based biopolysaccharide proton conductors for synaptic transistors on paper substrates10.1039/C4TC00652F ↗
7. Artificial synapses with short- and long-term memory for spiking neural networks based on renewable materials10.1021/acsnano.7b03347 ↗
8. Switching dynamics and conductance quantization of aloe polysaccharides-based device10.1109/TED.2019.2915106 ↗
9. Resistive switching behaviour in a polymannose film for multistate non-volatile memory application10.1039/D0TC04655H ↗
10. K.Y. Cheong, I. A. Tayeb, F. Zhao, and J.M. Abdullah, Review on resistive switching mechanisms of bio-organic thin film for non-volatile memory application, Nanotechnology Reviews 10 (2021) 1-30.10.1515/ntrev-2021-0047 ↗
11. Short-term synaptic plasticity10.1146/annurev.physiol.64.092501.114547 ↗
12. Decoding temporal information: a model based on short-term synaptic plasticity10.1523/JNEUROSCI.20-03-01129.2000 ↗
13. Perspective: a review on memristive hardware for neuromorphic computation10.1063/1.5037835 ↗
14. W.G. Regehr, Short-term presynaptic plasticity, Cold Spring Harbor Perspectives in Biology 4 (2012) a005702.10.1101/cshperspect.a005702 ↗
15. Paired-pulse facilitation achieved in protonic/electronic hybrid indium gallium zinc oxide synaptic transistors10.1063/1.4928386 ↗
16. Paired-pulse facilitation of transmitter release at different levels of extracellular calcium concentration10.1007/s11064-006-9115-x ↗
17. The role of calcium in neuromuscular facilitation10.1113/jphysiol.1968.sp008469 ↗
18. Synaptic computation10.1038/nature03010 ↗
19. Synaptic plasticity and filtering emulated in metal-organic frameworks nanosheets based transistors10.1002/aelm.201900978 ↗
20. K. Yue, X.Y. Wang, J. Jadav, A. Vartak, A.C. Parker, Analog neurons that signal with spiking frequencies, in Proceedings of the International Conference on Neuromorphic Systems (ICONS’19), July 23-25, 2019, Knoxville, TN, USA.10.1145/3354265.3354273 ↗