KI SensoryMotor Training - Science and Practical Application
As Movement requires Efficient Gathering and Processing of Sensory Information through our Central Nervous System, it is imperative that you learn to bias your athletes, patients and client’s Sensory Processing Systems - to change their Passive Sensing into Active Sensing, so Movement and Performance can be restored or optimized.
The quality of this sensory information depends heavily on environmental exposure and training of specific tasks through the application of the Dynamic Systems Theory methods.
This hands-on workshop will delve deep into the motor learning and motor control concepts and methods and will make you realize that effective coaching, training and rehabilitation should be based on providing our Central Nervous System with appropriate sensory information.
The KI methodology is deeply rooted in the Dynamic Systems Theory concepts. As a species, we prefer stable, coordinated, and energy efficient state. This state is known within the DST as Attractor State. Herein, the attractor is defined as a stable state of the motor control system that leads to a preferred coordination pattern. For example, walking on a treadmill that gradually increases speed. When the treadmill velocity reaches a critical point, there is a shift in movement - a shift from walking to jogging. No central nervous system command or motor learning is needed to make that movement pattern change. KI uses the Attractor based exercises to correct faulty movement patterns for its populations.