• DocumentCode
    3704751
  • Title

    Biological and simulated neuronal networks show similar competence on a visual tracking task

  • Author

    Abraham Shultz;Sangmook Lee;Thomas B. Shea;Holly A. Yanco

  • Author_Institution
    Department of Computer Science, University of Massachusetts Lowell, Lowell, MA
  • fYear
    2015
  • Firstpage
    261
  • Lastpage
    266
  • Abstract
    Biological neuronal networks can be embodied in closed-loop robotic systems, with electromechanical hardware providing the neurons with the ability to interact with a real environment. Due to the difficulties of maintaining biological networks, it is useful to have a simulation environment in which pilot experiments can be run and new software can be tested. A simulator for cultured mouse neurons is described, and used to simulate neurons in a closed-loop robotic system. The results are compared to results from a similar experiment using biological neurons.
  • Keywords
    "Neurons","Robots","Target tracking","Biological system modeling","Electrodes"
  • Publisher
    ieee
  • Conference_Titel
    Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015 Joint IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/DEVLRN.2015.7346153
  • Filename
    7346153