If you knew the details of a human’s neural connections, do you think it would be possible to design a subtle “pixel attack” to fool our classification of objects, the way a convolutional neural net can be fooled? Or is our visual intelligence more robust than CovNets? 
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Of course it is. First of all, we interpret everything we see as being part of an object in 3space, with a temporal history. That is mapping is a huge constraint. Also, our brain is not differentiable and less deterministic, which makes attacks harder.
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One can imagine the role of concrete amounts of various transmitters playing their physiological role and their changes in various disorders, i.e. their particular quantities playing roles in communication within parts of the system(amount as an input characteristics).
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