Language is a way of composing functions by making them low dimensional and discrete. I think of artificial languages (programming and math) as bottoming out in logical functions, natural languages in perceptual categories (which includes the perception of transitions and agency)
Yet neural representations are discrete, at timescales that we can often even resolve! At least one trick seems to be that we represent continuous motion via keyframes and operators that allow to derive the next keyframe.
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That's true, but to get a stream of thought (as in experience) you need to get from the neural reps to the single var output (experience is always unified). Just like an audio sig can contain a dozen instruments playing simultaneously even though it's just 1 var changing
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If you have a lesion in V4 or a synchronization problem caused by serotonin malfunction your visual experience may become discrete. Generally, the model approaches the structure of the domain, so a modality may go from discrete to unitary to discrete, at different levels
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