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And given his expertise in the oculomotor circuit, he gives several examples of how this approach can help understanding neuronal control of eye movements.
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Example: an ANN trained to simulate vestibule-ocular reflexpic.twitter.com/PTNueRKksu
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This is when DR gave up on the neural integrator. Think of all the examples he introduced (and inspired) of direct coding of oculomotor control variables by single neurons. The popular high dim mixed selectivity idea obfuscate. They are noncomputational—only representational.
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He kind of alludes to this problem in section 3.3 where he compares a mathematical solution to spatial coordination in VOR vs ANN solution. He concludes that the behaviour of hidden units doesn’t even suggest spatial coordination is occurring.
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place cells told a story. Didnt have to be that way, but it was.
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But there are lots of cells in the hippocampus that don't tell that story. Same with simple/complex cells in V1. Nice story, far from complete.
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If we didn't understand thermodynamics we might say the same thing about the behavior of a volume of gas vs the behavior of its individual molecules.
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The reason we can go from stat mech to thermodynamics is that molecules and interactions are uniform. By contrast, what is interesting in neural networks are the interactions (connections), which are not uniform (ie you have to specify the elements of weight matrix).
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Fetz made very similar points in his article in the same issue: https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/are-movement-parameters-recognizably-coded-in-the-activity-of-single-neurons/875AA83CCD35507B762373869BC88D72 …
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