Synaptic Thin-Film Transistor Model based on Behavioral Simulation

Rui Li, Shenjian Zhang, Junyan Li, Yechen Lin, Changlin Qian, Yuxin Guan, Chun Zhao

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

This work presents an advanced behavioral simulation model for artificial synaptic transistors, developed to address the limitations of existing models in accurately capturing the dynamic behavior of Synaptic Thin-Film Transistor (STFT). Our model, derived from the charge transfer mechanism, offers a comprehensive emulation of the fundamental characteristics (Including: output characteristic curve, transfer characteristic curve, long-term potentiation curve, paired-pulse facilitation curve, excitatory post-synaptic current curve) of artificial synaptic transistors fabricated by aqueous solution process.

Original languageEnglish
Title of host publication2025 IEEE 16th Latin American Symposium on Circuits and Systems, LASCAS 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331522124
DOIs
Publication statusPublished - 2025
Event16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025 - Bento Goncalves, Brazil
Duration: 25 Feb 202528 Feb 2025

Publication series

Name2025 IEEE 16th Latin American Symposium on Circuits and Systems, LASCAS 2025 - Proceedings

Conference

Conference16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025
Country/TerritoryBrazil
CityBento Goncalves
Period25/02/2528/02/25

Keywords

  • artificial synapse
  • behavioral simulation
  • neuromorphic computing
  • thin-film transistor

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