Dear Ben -

Good posting. We should not attempt too hardhandedly, armchair-wise to 
legislate the dependency relations between sciences. We should rather look at 
which connections are, in fact, out there.
And as to neurology and mathematics, I think it is safe to say that the 
dependence until now has been unambiguously unilateral. Mathematical does not 
depend upon neurology at all - I know of no mathematical result which depends 
upon neurology, neurological methods or theories, brain scannings etc. In the 
opposite direction, neurology increasingly depends upon complicated applied 
mathematics (I touch a bit upon this towards the end of the Antipsychologism 
chapter). The construction of brain imaging machinery depends upon physical 
results expressed mathematically, and the analysis of brain images requires 
sophisticated mathematical statistics, often by mathematical experts hired as 
special members of scanning teams at the hospitals. So the results of recent 
neurology, many of them exciting, are dependent upon mathematics.
I think it follows from these observations that it is a preposterous claim to 
say that mathematics is the study of neurological structures - or that 
mathematics could, in any way, be reduced to neuropsychology. Given the recent 
successes of neuroscience, it is natural that this science is in a growth 
phase, sort of testing the limits of what it can explain. This leads to 
overblown reduction ideas like the ones mentioned. Probably such ideas may be 
fruitful to present in your grant applications - if neurology could really 
explain mathematics, then it would be a surprise result worth funding. But 
nothing points in the direction of that being possible. Rather, the 
neurology-as-explanation-of-everything seems to me to form a science bubble - 
such bubbles now being studied by my colleague Vincent Hendricks - taking its 
departure in valuable assets whose worth is overestimated in an echo-chamber 
effect amont grant-seeking scientists. Such echo-chambers are an effect of 
science being a social construction. But the bursting of bubbles also shows 
that science, in a self-correcting development, is able to overcome such social 
side-effects and reach results which are not only social.

Best
F



Den 15/09/2014 kl. 18.36 skrev Benjamin Udell 
<[email protected]<mailto:[email protected]>>
:


Stan, Gary F., list,

When mathematicians start basing their findings on those of neurology, I'll 
start to think that maybe there's something to the idea that mathematics is a 
neural phenomenon. Instead, mathematics is applied in neurology, not vice 
versa, and there seem good reasons in practice for it. Now, the process of 
discovery is influenced, promoted, limited, etc., by pscyhological (and social) 
factors. But to say that math is the study of certain neural phenomena is like 
saying that astronomy is the study of telescopes (and of certain neural 
phenomena), as if stars were only secondarily real. The question is not whether 
numbers exist like stars, hardly anybody thinks that. The question is whether 
they can be objectively investigated as numbers. We commonly think that a 
broadcast of the first 20 prime numbers what indicate an extra-terrestrial 
intelligence, although that E.T. might differ psychologically and socially so 
much from us as to be generally bewildering to us. We don't think that they'll 
find different properties of prime numbers than we do. To be consistent with 
the view that math is a neural phenomenon, one should also say that biology is 
a neural phenomenon, chemistry is a biological and neural phenomenon, and 
physics a chemical, biological, and neural phenomenon. It actually starts to 
make some sense, albeit with some sort of shift in the sense of the word 
'phenomenon'.

Areas of research can be ordered according to their bases in principles of how 
we know things (ordo cognoscendi, the order of learning or familiarity) and, in 
pretty much reverse order, in principles (entities, laws, etc.) whereby we 
explain things (ordo essendi, the order of being). The order of being is often 
preferred in the special sciences (physics first, etc.), while the order of 
learning and of the verificatory bases on which we know things is sometimes 
preferred in maths (where such preference tends to put mathematical logic and 
theory of structures of order first).

"Basic" versus "low", profundus versus bathos: Too much feeling of prestige or 
status sometimes rides on these discussions. One may characterize phenomena as 
"more basic" and "less basic", which tends to be taken to make physics, for 
example, seem better than psychology, for example; or as "lower" and "higher," 
which tends to be taken to make psychology seem better. This issue has turned 
up in one form on a US sitcom:http://www.youtube.com/watch?v=FitG_PLO9Rg (scene 
2 min., 22 secs long; pardon the ad).

Maybe those researches which I call "sequenced in the order of being" you would 
call "sequenced in the order of abstractness." Still could well be the same 
ordering.

I'm not saying that the ontological questions are unimportant, to the 
intellectual climate, the human spirit, and the ultimate bearings which people 
take in their decisions. But when an ontological view conflicts with the 
structures of dependences among sciences and math, to me it signifies that 
one's classification is either deficient in firm and fertile constraints or 
just plain nebulous. And, if people argue over whether some sciences should be 
ordered by increasing concreteness or increasing abstractness, and if it's 
essentially the same ordering forwards versus backwards, ♂♀✳†∞$ versus $∞†✳♀♂ , 
then they're arguing over a shiny gewgaw, the right of some science to be 
called "1st" rather than "last"; the real classificational choices have already 
been made, and the two orderings just need to be distinctly named, so that 
people can specify the sense of the ordering. Various orderings can be quite 
compatible when distinguished by an articulated sense or standard of the 
ordering. Questions of ontology and questions of research-classificatory 
preference are often best separated. Same is true for the topic of logical 
quantity and any connected research-classificatory preference issues.

Best, Ben

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