Harmony  

NeuroRobotics

Prof. M. Anthony Lewis

 

  
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Description: In this course we will examine three key topics: (1) what can we learn
from information processing in the brain and how can we apply it to difficult engineering
problems in robotics; (2) How can we model the behavior of living organisms using
artifacts (man-made devices); (3) How can we interface biological and robotic systems.
We will first review the basics of robot dynamics and kinematics, models of neurons
(both biophysical and phenomenological), sensory motor transformation, and finally the
control of robotic systems using spiking or integrate and fire models of neurons.
This course is multidisciplinary and is meant to be self-contained and accessible to
students with knowledge of differential equations, multivariable calculus and random
processes. Students should have a strong interest in biology and/or cognitive psychology

Comming Soon