Visual training for population vector based cortical control

Jiping He, Stephen Helms Tillery, R. Wahnoun

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


We have developed a method for training animals to control a variety of devices from cortical signals. in this report we describe a protocol to parameterize a cortical control algorithm without an animal having to move its arm. Instead, a highly motivated animal observes a computer cursor moving towards a set of targets once each in a center-out task. From the neuronal activity recorded in this visual following task, we compute the set of preferred directions for the neurons. We find that the quality of fit in this early set of trials is highly predictive of each neuron's contribution to the overall cortical control.

Original languageEnglish (US)
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
PublisherIFAC Secretariat
Number of pages5
ISBN (Print)008045108X, 9780080451084
StatePublished - 2005

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
ISSN (Print)1474-6670


  • Algorithm
  • Cortical coding
  • Cortical control
  • Motor cortex
  • Neuroprosthetics

ASJC Scopus subject areas

  • Control and Systems Engineering


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