English

Artificial Synapse Network on Inorganic Proton Conductor for Neuromorphic Systems Applications

Materials Science 2014-03-05 v1

Abstract

The basic units in our brain are neurons and each neuron has more than 1000 synapse connections. Synapse is the basic structure for information transfer in an ever-changing manner, and short-term plasticity allows synapses to perform critical computational functions in neural circuits. Therefore the major challenge for the hardware implementation of neuromorphic computation is to develop artificial synapse. Here, in-plane oxide-based artificial synapse network coupled by proton neurotransmitters are self-assembled on glass substrates at room-temperature. A strong lateral modulation is observed due to the proton migration in the nanogranular phosphorus-doped SiO2 electrolyte films. Functional roles of short-term plasticity, including paired-pulse facilitation, dynamic filtering and spatiotemporally correlated signal processing are mimicked. Such in-plane oxide-based protonic/electronic hybrid synapse network proposed here are interesting for building future neuromorphic systems.

Keywords

Cite

@article{arxiv.1311.0559,
  title  = {Artificial Synapse Network on Inorganic Proton Conductor for Neuromorphic Systems Applications},
  author = {Li Qiang Zhu and Chang Jin Wan and Li Qiang Guo and Yi Shi and Qing Wan},
  journal= {arXiv preprint arXiv:1311.0559},
  year   = {2014}
}
R2 v1 2026-06-22T02:00:04.541Z