Mapping motor cortex stimulation to muscle responses: A deep neural network modeling approach

  • Md Navid Akbar
  • , Mathew Yarossi
  • , Marc Martinez-Gost
  • , Marc A. Sommer
  • , Moritz Dannhauer
  • , Sumientra Rampersad
  • , Dana Brooks
  • , Eugene Tunik
  • , Deniz Erdomuş

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

Original languageEnglish
Title of host publication13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Conference Proceedings
PublisherAssociation for Computing Machinery
Pages101-106
Number of pages6
ISBN (Electronic)9781450377737
DOIs
StatePublished - Jun 30 2020
Event13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Virtual, Online, Greece
Duration: Jun 30 2020Jul 3 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020
Country/TerritoryGreece
CityVirtual, Online
Period6/30/207/3/20

ASJC Scopus Subject Areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Keywords

  • autoencoder
  • convolutional neural network (CNN)
  • muscle synergy
  • performance-complexity analysis
  • transcranial magnetic stimulation (TMS)

Fingerprint

Dive into the research topics of 'Mapping motor cortex stimulation to muscle responses: A deep neural network modeling approach'. Together they form a unique fingerprint.

Cite this