Non-linear stimulus-response behavior of the human stance control system is predicted by optimization of a system with sensory and motor noise.
Herman van der KooijRobert J. PeterkaPublished in: J. Comput. Neurosci. (2011)
Keyphrases
- control system
- human behavior
- external world
- fuzzy logic
- speed control
- highly non linear
- control algorithm
- closed loop
- noise reduction
- optimization algorithm
- human decision making
- cognitive process
- social behavior
- control law
- control strategy
- information processing
- noisy data
- missing data
- optimization problems
- robot behavior
- control method
- fuzzy control
- intelligent control
- dc motor
- real time
- pi control
- visual stimuli
- personality traits
- visual processing
- global optimization
- optimization method
- genetic algorithm
- neural network