@inproceedings{c78eb258a8f143738ad1719436fb4087,
title = "Nanocrystalline silicon thin film transistors for neuromorphic applications",
abstract = "This paper briefly reviews some of our recent work on the fabrication, modeling and characterization of neuromorphic circuits using nanocrystalline-silicon (nc-Si) thin-film transistors (TFTs) and memristive (resistive switch) devices (1-11). SPICE models of our fabricated devices are presented. Complex synaptic and learning behavior is demonstrated as a natural outcome of using these specific devices. The fabrication processes are consistent with the use of glass or flexible substrates. Therefore, the neuromorphic architecture may provide for information processing that is more efficient than that expected for conventional TFT circuitry.",
author = "Vogel, {E. M.} and A. Subramaniam and Cantley, {K. D.}",
year = "2013",
doi = "10.1149/05401.0311ecst",
language = "English",
isbn = "9781607684435",
series = "ECS Transactions",
number = "1",
pages = "311--319",
booktitle = "2013 International Conference on Semiconductor Technology for Ultra Large Scale Integrated Circuits and Thin Film Transistors, ULSIC vs. TFT 4",
edition = "1",
note = "4th International Conference on Semiconductor Technology for Ultra Large Scale Integrated Circuits and Thin Film Transistors, ULSIC vs. TFT 2013 ; Conference date: 07-07-2013 Through 12-07-2013",
}