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Multiple paired forward and inverse models for motor control - Coggle…
Multiple paired forward and inverse models for motor control
the problem of control - computational process of determining the input to some system we wish to control which will achieve some desired output
the computational aspect of motor commands and control is extremely complicated
two options of motor control
one big system that calculate all the different contexts
there are too many contexts
any time there is a change in the context the whole "program" will have to learn it from stage one which will cause a lot of errors
modular system of many small motor controllers and one HQ the decide in what controller to use each time
HQ - context identification process
reasons to believe in that
the world is modular, in some sense
it enable to change part of the system without changing it completely
with small amount of inverse models, we can create enormous amount of outputs
my note - maybe there is other idea...
how do we learn motor control?
modular system
multiple paired forward–inverse models
there is scientific evidence for the modular approach - we apply different movement patterns in different contexts.
the modular option requires two processes
module learning
module switching
feed forward choose the modules to start with
feed back change the operating model