Self-organizing model of motor cortical activities during drawing

Siming H. Lin, Jennie Si, Andrew B. Schwartz

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

Abstract

The population vector algorithm has been developed to combine the simultaneous direction- related activities of a population of motor cortical neurons to predict the trajectory of the arm movement. In our study, we consider a self-organizing model of a neural representation of the arm trajectory based on neuronal discharge rates. Self-organizing feature mapping (SOFM) is used to select the optimal set of weights in the model to determine the contribution of individual neuron to the overall movement. The correspondence between the movement directions and the discharge patterns of the motor cortical neurons is established in the output map. The topology preserving property of the SOFM is used to analyze real recorded data of a behavior monkey. The data used in this analysis were taken while the monkey was drawing spirals and doing the center out movement. Using such a statistical model, the monkey's arm moving directions could be well predicted based on the motor cortex neuronal firing information.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsKent A. Murphy, Dryver R. Huston
Pages540-551
Number of pages12
StatePublished - Jan 1 1996
EventSmart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation - San Diego, CA, USA
Duration: Feb 26 1996Feb 28 1996

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2718

Other

OtherSmart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation
CitySan Diego, CA, USA
Period2/26/962/28/96

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Lin, S. H., Si, J., & Schwartz, A. B. (1996). Self-organizing model of motor cortical activities during drawing. In K. A. Murphy, & D. R. Huston (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (pp. 540-551). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2718).