Stimulus-dependent spiking and bursting behavior in memsensor circuits: experiment and wave digital modeling

Biological information processing pathways in neuron assemblies rely on spike activity, encoding information in the time domain, and operating the highly parallel network at an outstanding robustness and efficiency. One particularly important aspect is the distributed, local pre-processing effective...

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Bibliographic Details
Published inThe European physical journal. B, Condensed matter physics Vol. 97; no. 9
Main Authors Jenderny, Sebastian, Gupta, Rohit, Madurawala, Roshani, Strunskus, Thomas, Faupel, Franz, Kaps, Sören, Adelung, Rainer, Ochs, Karlheinz, Vahl, Alexander
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2024
Springer Nature B.V
Subjects
Analog circuits
Biological activity
Brain
Bursting
Coding
Complex Systems
Condensed Matter Physics
Data processing
Fluid- and Aerodynamics
Information processing
Memory devices
Neural networks
Neuromorphic Bio-inspired Computing
Physics
Physics and Astronomy
Regular Article
Solid State Physics
Zinc oxide
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Summary:Biological information processing pathways in neuron assemblies rely on spike activity, encoding information in the time domain, and operating the highly parallel network at an outstanding robustness and efficiency. One particularly important aspect is the distributed, local pre-processing effectively converting stimulus-induced signals to action potentials, temporally encoding analog information. The field of brain-inspired electronics strives to adapt concepts of information processing in neural networks, e.g., stimulus detection and processing being intertwined. As such, stimulus-modulated resistive switching in memristive devices attracts an increasing attention. This work reports on a three-component memsensor circuit, featuring a UV-sensor, a memristive device with diffusive switching characteristics and a capacitor. Upon application of a DC bias, complex, stimulus-dependent spiking and brain-inspired bursting can be observed, as experimentally showcased using combination of a microstructured, tetrapodal ZnO sensor and a Au/SiO x N y /Ag cross-point memristive device. The experimental findings are corroborated by a wave digital model, which successfully replicates both types of behavior and outlines the relation of temporal variation of switching thresholds to the occurrence of bursting activity. Graphical abstract
ISSN:1434-6028
1434-6036
DOI:10.1140/epjb/s10051-024-00770-9