Practical measurement of neuromorphic response through computational linguistics

[MarkBruns]

Let's leave the discussion of brain computer interfaces and measurements such as EEG aside for a moment ...

... why not measure output instead ... or to complement neurosensors until costs/problems of more advanced neurosensors are an affordable reality?

Isn't it the productivity and creativity of the knowledgework output that really matters anyway? ,

So ... why not used AI/ML and computational linguistics analysis of OUTPUT ... starting with text analysis
... perhaps journal entries, annotations, slack/email/txt interactions and frequency, git commitgraphs, quality of comments in code or commit msgs ...

We should be able to get a reasonably decent knowledge pedometer from textural analysis which doesn't actually take a biopsy and measure neurons or brain tissue ... but it gets at the question of brain HEALTH ... rather than the typical medical approach of looking for a DISEASE to treat or medicate.