Title: Motor Control Theories
1Chapter 5
Concept Theories about how we control
coordinated movement differ in terms of the roles
of central and environmental features of a
control system
2Theory and Professional Practice
- What is a theory?
- Accurately describes a large class of
observations - Make definite predictions about results of future
observations (Hawking, 1996) - Theories of motor learning and control focus on
- Explaining human movement behavior
- Providing explanations about why people perform
skills as they do - Does a theory have relevance to professional
practice? - Provides the why basis for what practitioners
do - See Figure 5.1
3Motor Control Theory
- Describes and explains how the nervous system
produces coordinated movement of motor skill in a
variety of environments - Two important terms
- Coordination
- The degrees of freedom problem
4Coordination
- Patterning of body and limb motions relative to
the patterning of environmental objects and
events (Turvey, 1990) - Two parts to consider
- Movement pattern of a skill in relation to a
specific point of time - Context of the environment of the head, body,
and/or limb movements so the actions can be
accomplished
5Degrees of Freedom Problem
- Degrees of freedom (df) Number of independent
elements in a system and the ways each element
can act - Degrees of freedom problem How to control the
df to make a complex system act in a specific way - e.g. The control of a helicopters flight
(described in the textbook) - Degree of freedom problem for the control of
movement - How does the nervous system control the many df
of muscles, limbs, and joints to enable a person
to perform an action as intended?
6Two General Types of Control Systems
- Open- and Closed-Loop Control Systems
- See Figure 5.3
- Incorporated into all theories of motor control
- Models of basic descriptions to show different
ways the CNS and PNS initiate and control action - Each has a central control center (executive)
- Function to generate and forward movement
instructions to effectors (i.e., muscles) - Each includes movement instructions from control
center to effectors - Content of the instructions differs between
systems
7Differences Between the Systems
- Open-Loop
- Does not use feedback
- Control center provides all the information for
effectors to carry out movement - Does not use feedback to continue and terminate
movement
Movement instructions
Movement control center
Movement effectors
- Closed-Loop
- Uses feedback
- Control center issues information to effectors
sufficient only to initiate movement - Relies on feedback to continue and terminate
movement
Movement instructions
Movement Control center
Movement effectors
8Two Theories of Motor Control
- Motor Program-based theory Memory-based
mechanism that controls coordinated movement - Dynamic Pattern theory (a.k.a. Dynamical
Systems) Describes and explains coordinated
movement control by emphasizing the role of
information in the environment and mechanical
properties of the body and limbs
9Motor Program-Based Theory
- Best example comes from Schema Theory by
Schmidt (1988) - Generalized motor program (GMP) Hypothesized
memory-based mechanism responsible for adaptive
and flexible qualities of human movement - Proposed that each GMP controls a class of
actions that have common invariant characteristics
10Motor Program-Based Theory, contd
- GMP Function
- To serve as the basis for generating movement
instructions prior to and during the performance
of an action - GMP Characteristics
- Invariant features
- Characteristics of the GMP that do not vary
across performances of a skill within class of
actions - The identifying signature of a GMP
- Parameters
- Specific movement features added to the invariant
features to enable the performance of a skill in
a specific situation - Characteristics can vary from one performance of
a skill to another
11Motor Program-Based Theory, contd
- Invariant features and parameters
- Example of an invariant feature
- Relative time of the components of an action
(i.e. of total time each component uses during
performance) - Example of a parameter
- Overall time (i.e.) for performing a skill
- An Analogy from Music and Dance
- Relative time Rhythm (beat) of the music, e.g.
The 3 beats to a measure for a waltz - Overall time Tempo (The speed at which you
waltz) - Regardless of how fast or slow you waltz, the
rhythm remains the same (i.e. invariant)
12GMP for Walking
- Invariant
- Relative time for gait cycle phases -
- Parameter
- Walking speed
13Motor Program-Based Theory Testing Relative Time
Invariance
- Experiment by Shapiro et al. (1981)
- Used gait characteristics to test prediction of
relative time invariance for a class of actions
controlled by a GMP - Are walking and running one or two classes of
action? - Assessed 4 components of 1 step cycle
- Calculated relative time for each component at 9
different speeds (3 12 km/hr) - Relative time of total time each component
required for 1 step cycle - Results Relative time similar within speeds when
walking but different from speeds when running
(similar within speeds when running) See Figure
5.5
14Dynamic Pattern Theory (a.k.a., Dynamical
Systems)
- Describes the control of coordinated movement
that emphasizes the role of information in the
environment and dynamic properties of the
body/limbs - Began to influence views about motor control in
early 1980s - Views the process of human motor control as a
complex system that behaves like any complex
biological or physical system - Concerned with identifying laws (natural and
physical) that govern changes in human
coordination patterns
15Dynamic Pattern Theory Concepts
- Motor control system operates on the basis of
non-linear dynamics - Behavioral changes are not always continuous,
linear progressions but often make sudden and
abrupt changes - Behaviors specified by environmental and task
characteristics/conditions - Behaviors are self-organized
16Dynamic Pattern Theory Concepts Attractors
- Attractor A stable state of the motor control
system that leads to behavior according to
preferred coordination patterns (e.g. walking) - Characteristics of an attractor
- Identified by order parameters (e.g., relative
phase) - Control parameters (e.g., speed) influence order
parameters - Minimum trial-to-trial performance variability
- Stability Retains present state despite
perturbation - Energy efficient
17Dynamic Pattern Theory Concepts Order and
Control Parameters
- Order parameters
- Also called collective variables
- Functionally specific and abstract variables that
define the overall behavior of the system - Enable a coordinated pattern of movement that can
be reproduced and distinguished from other
patterns - Relative phase is the most prominent of order
parameters which represents the movement
relationship between two movement segments (see
chapter 2)
18Order and Control Parameters, contd
- Control parameter
- A variable, when increased or decreased, will
influence the stability and character of the
order parameter - Is important to identify since it becomes the
variable to manipulate in order to assess the
stability of the order parameter - Provides the basis for determining attractor
states for patterns of limb movement
19Dynamic Pattern Theory Concepts Self-Organization
- Self-Organization
- When certain conditions characterize a situation,
a specific pattern of limb movement emerges - This pattern of movement self-organizes within
the characteristic of environmental conditions
and limb dynamics
20Attractors and Self-Organization for Movement
Coordination
- Gait Transitions
- Research (to be discussed more in ch. 7) shows
that if a person begins walking on treadmill at
slow speed - Treadmill speed increases every few minutes
- Person begins to run at a certain speed not same
speed for all people - Same effect if person begins running on treadmill
- Begins to walk at certain speed
- Swim Stroke Transitions
- Research in France (2004)
- 14 elite male swimmers
- Each trial involved a swim velocity increase
began at preferred velocity - Arm-stroke analysis showed 2 distinct arm
movement coordination modes - Began in one mode but abruptly began 2nd mode at
a specific swim velocity
21Attractors and Self-Organization for Movement
Coordination, contd
- Discuss how the two research examples on the
previous slide demonstrate the dynamic pattern
theory concepts of - Self-organization
- Control parameter
- Attractors (i.e., stable coordination states)
- Non-linear behavior change
22Dynamic Pattern Theory Concepts Coordinative
Structures
- Functional synergies (i.e. cooperative groups) of
muscles and joints that act cooperatively to
produce an action - If a perturbation stops one set of muscles from
working, another works in its place - e.g. walking with a leg cast
- Develop through practice, experience, or naturally
23Dynamic Pattern Theory Concepts Perception and
Action Coupling
- The linking together (i.e. coupling) of movement
to environmental information - The perception part
- The detection of critical invariant information
in the environment - The action part
- The movement that becomes associated with what is
specified by the environmental information - An example
- When walking, the time to contact an object in
your pathway (specified by the perception of the
changing size of the object) determines when you
initiate stepping over the object - i.e. Your stepping action is coupled with your
visual perception of the object
24Present State of the Control Theory Issue
- Currently, both the motor program-based theory
and dynamic pattern theory predominate - Research investigating each has shown that a
theory of motor control cannot focus exclusively
on movement information specified by the CNS - Task and environmental characteristics must be
also be taken into account - Speculation exists that a hybrid of the two
theories as a compromise theory could emerge to
explain the control of coordinated movement