4.6 Article

An artifical synapse based on graphene field-effect transistor with silver gel/polarized-aptamer gate

Journal

ORGANIC ELECTRONICS
Volume 92, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.orgel.2021.106118

Keywords

Artificial synapse; Plasticity; Graphene field-effect-transistor; Silver gel; Aptamer

Funding

  1. National Natural Science Foundation of China [61704137]
  2. China Scholarship Council [201706285009]
  3. Key R&D plan of Shaanxi Province [2020GY-021]
  4. Fundamental Research Funds for the Central Universities [xjh012020009]
  5. Opening Project of Key Laboratory of Microelectronic Devices & Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences

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This work introduces an artificial synapse based on side-gate graphene-field-effect-transistor, successfully emulating various synaptic plasticities and behaviors. The model proposed, based on a widely used function for biological synapses, effectively describes the behavior of the fabricated artificial synapses.
In this work, we present an artificial synapse based on side-gate graphene-field-effect-transistor (GFET) using biocompatible silver gel/polarized-aptamer as gate dielectric. The gate functions as the presynaptic membrane, while the drain works as postsynaptic membrane. Various synaptic plasticities, including short-term enhancement (STE), short-term depression (STD), long-term potentiation (LTP), long-term depression (LTD) and the transformation from short-term plasticity to long-term plasticity have been emulated by the GFET artificial synapse. A model based on the function of a difference of two exponentials that is widely used to model the biological synapses is proposed, well fitting the behavior of the fabricated artificial synapses under different presynaptic spikes. With a fixed current of -1 ?A applied to postsynaptic membrane, the excitatory-postsynapticpotential-like spikes can be generated at postsynaptic membrane under the positive spikes applied to presynaptic membrane, suggesting the similarities between the artificial and biological synapses.

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