In Materia Neuron Spiking Plasticity for Sequential Event Processing Based on Dual-Mode Memristor
Authors
Shan, Linbo
Bao, Lin
Bao, Shengyu
Qin, Yabo
Ling, Yaotian
Bai, Guandong
Robertson, John
Huang, Ru
Publication Date
2022Journal Title
ADVANCED INTELLIGENT SYSTEMS
ISSN
2640-4567
Publisher
Wiley
Language
en
Type
Article
This Version
AO
VoR
Metadata
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Shan, L., Wang, Z., Bao, L., Bao, S., Qin, Y., Ling, Y., Bai, G., et al. (2022). In Materia Neuron Spiking Plasticity for Sequential Event Processing Based on Dual-Mode Memristor. ADVANCED INTELLIGENT SYSTEMS https://doi.org/10.1002/aisy.202100264
Abstract
Artificial neurons are the fundamental elements in neuromorphic computing systems. Studies have revealed neuronal spike‐rate adaptation owing to intrinsic plasticity that neurons will adapt to the spiking patterns and store the events in the background spiking through clustered neuronal spiking. The event can be reactivated by specific retrieval clues instead of solely relying on synaptic plasticity. However, the neural adaptation, as well as the interactive adaptations of neuronal activity for information processing, have not been implemented. Herein, an artificial adaptive neuron via in materia modulation of the VO2/HfO2 based dual‐mode memristor is demonstrated. By changing the conductance of the HfO2 layer, the firing threshold can be modulated, thus the excitability and inhibition can be adjusted according to the previous stimuli without any complex peripherals, showing an adaptive firing rate even under the same stimuli. The artificial neuron clusters can emulate the concept of neuronal memory and neural adaptation, demonstrating spatiotemporal encoding capabilities via the correlated neural firing patterns. This conceptual work provides an alternative way to expand the computation power of spiking neural networks by exploiting the neural adaptation and could be enlightenment to maximize the synergy across both synapse and neuron in neuromorphic computing systems.
Keywords
Research Article, Research Articles, artificial adaptive neuron, intrinsic plasticity, neuromorphic computing systems, spike-rate adaptation
Sponsorship
National Key Research and Development Program (2019YFB2205401)
National Natural Science Foundation of China (61834001, 62025401, 61904003, 61927901)
“111” Project (B18001)
Beijing Natural Science Foundation (4212049)
PKU-Baidu Fund (2020BD022)
Identifiers
aisy202100264
External DOI: https://doi.org/10.1002/aisy.202100264
This record's URL: https://www.repository.cam.ac.uk/handle/1810/334803
Rights
Licence:
http://creativecommons.org/licenses/by/4.0/
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