Modelling of nanowire FETs based neural network for tactile pattern recognition in E-skin

William Taube, Fengyuan Liu, Anastasios Vilouras, Dhayalan Shaktivel, Carlos Garcia Nunez, Hadi Heidari, Fabrice Labeau, Duncan Gregory, Ravinder Dahiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents device, circuit and system modelling to validate the use of neural nanowire FETs (u-NWFETs) towards a hardware-realizable Neural Network. Hardware neural networks are promising for neuromorphic computing and have many prospective applications for bi-directional interface in prosthetics, and electroceuticals etc. Device simulation of a u-NWFET has been carried out followed by circuit implementation to validate the use of silicon nanowires (Si-NWs) as neuronal elements. A system level simulation of 258 neurons (225 sensor neurons, 50 hidden layer neurons and 3 output layer neurons) has been performed to demonstrate tactile pattern recognition. Training has been carried out and validation of the trained network gives an accurate classification of a database of 50 tactile images into 3 classifiers.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages572-575
Number of pages4
ISBN (Electronic)9781509029594
DOIs
Publication statusPublished - Jan 1 2016
Externally publishedYes
Event12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016 - Shanghai, China
Duration: Oct 17 2016Oct 19 2016

Publication series

NameProceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016

Other

Other12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
CountryChina
CityShanghai
Period10/17/1610/19/16

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Instrumentation
  • Biomedical Engineering

Cite this

Taube, W., Liu, F., Vilouras, A., Shaktivel, D., Nunez, C. G., Heidari, H., ... Dahiya, R. (2016). Modelling of nanowire FETs based neural network for tactile pattern recognition in E-skin. In Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016 (pp. 572-575). [7833859] (Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS.2016.7833859