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
Link To Document