Hodgkin–Huxley Artificial Synaptic Membrane Based on Protonic/Electronic Hybrid Neuromorphic Transistors
Author(s) -
Fu Yang Ming,
Wan Chang Jin,
Zhu Li Qiang,
Xiao Hui,
Chen Xiao Dong,
Wan Qing
Publication year - 2018
Publication title -
advanced biosystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.153
H-Index - 18
ISSN - 2366-7478
DOI - 10.1002/adbi.201700198
Subject(s) - neuromorphic engineering , excitatory postsynaptic potential , membrane potential , neuroscience , inhibitory postsynaptic potential , synaptic plasticity , membrane , materials science , computer science , nanotechnology , chemistry , artificial intelligence , biology , artificial neural network , biochemistry , receptor
Iontronics is a newly emerging interdisciplinary concept that bridges electronics and ionics. It provides new opportunities for biomimic information processing. Iontronic devices can act as building blocks for neuromorphic platforms. Here, a proof‐of‐principle Hodgkin–Huxley artificial synaptic membrane is proposed for the first time based on inorganic proton conductor. Phosphosilicate glass‐based proton conductor electrolyte demonstrates unique short‐term volatile charging behaviors, indicating potential short‐term synaptic plasticity applications. By using protonic/electronic hybrid oxide transistor configuration, dynamic synaptic membrane potential responses are triggered with gate current spikes. Typical resting potential, excitatory/inhibitory postsynaptic potential behaviors, and membrane depolarization/activation behaviors are mimicked on the proposed Hodgkin–Huxley artificial synaptic membrane. Moreover, proton‐related electrostatic coupling enables the device to possess short‐term synaptic plasticities with low power consumption. The proposed Hodgkin–Huxley artificial synaptic membrane provides a new prototype for neuromorphic system applications.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom