This paper shows how time-dependent sensory data from an evolving stimulus can be blindly rescaled in a nonlinear time- dependent fashion to create a time series of stimulus representa- tions that are invariant under any unknown invertible transfor- mation of the sensory data. These representations are invariant, because they encode "inner" properties of the time series of stimulus configurations themselves. This means that any two devices, possibly equipped with significantly different sensors, will create the same rescaled representation of an evolving stimulus, as long as they are sensitive to the same internal degrees of freedom of the stimulus.
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