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I think by adding a mixture of noise, delays etc, we may not end up at d=1.
But even if we did, many studies would describe these "population dynamics" as a line attractor.
Rather than just a single neuron acting on it's own?
Sep 10, 2025 15:39I see the point, but that might be a too simplistic example. In brains it is unlikely that a single neuron "does the job", and from a representational perspective what we call "noise" may still be a behaviorally relevant signal at the pop level (stim X shows property i but not j).
What I was trying to highlight is that it is possible to observe low dimensional structure in population activity which is unrelated to the computation / task.
And it's not obvious that this problem vanishes in more complex circuits?
