Hello from Germany

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Hello all,

I'm Dennis. 20 years old from Germany.

Despite the fact of having asperger I also have synesthesia. Numbers are colored. Voices produce a taste in my mouth. Not all peoples' voices taste - some are neutral. This is my way of seeing who is a good or bad person. To give you an example: Kirsten Lindsmiths voice tastes like raspberry. So when she speaks it is as if I am eating a raspberry. The tastes have a wide bandwidth - from fruits to stone and soap or worse. So it's not always fun if you sit in a room with someone who's voice tastes like milk that is out of date.

I'm a mathematical software engineer. My first math lecture I attended when I was 14 or 15. Since I am 17 I travel through europe to attend a good math lecture. My constant interest is math or better: everything involving numbers and structures. At the moment I am also interested in memory sports and philosophy.

I have read a lot on this website the last few days. The asperger diagnosis is pretty new to me - but many things I've read sound familar. It's nice to be here.

Hello. Welcome to WP. I'm new too.

Welcome to WP!

Hi, Welcome to Wrong Planet!

And you, too, fishsticks.


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To me, a phone number kind of has a "texture." And I can kind of feel my way to the right number even if I haven't called it for years (not always, but sometimes, and a gift either way)

Welcome demue.

I have the feeling that synesthesia can be fun, but of course if someone gives you a bad taste, that is annoying.

It can be fun - especially in dating. I simply have no idea how to date but I quickly realized that if I say to a girl: "Your voice tastes like [insert something beautiful]!" I have already won the first minutes of the evening, the problem are the next minutes... But if you go to a blind date and only notice: "Crap. It's rotten egg." ... I hate new things and therefor I usually avoid blind dates. In the past there were friends who wanted to socialise me and always tried to arrange a blind date.. I didn't like it.

Have you tried speed-dating?

No, I haven't. Maybe it would be fun. I can build some "short time attraction" with this stuff - but after 5 minutes or so I'm totally lost with normal dating. The problem of don't understanding the dynamics of a flirt.

Has synethesia made math easier for you? I study math also. I would imagine it does. Do you like number theory/algebra?

The formulas are easier because the indices have different colors and some "math symbols" like the kronecker delta also have its color. In general it is easier to find the details but there are formulas that give me real trouble. I always tell my professors to not use i and j at the same time in the same formular as a summation index - they have the same color. But in general it makes things at least a little bit more structured and colored. So it's easier to see the differences between two lines in a proof.

I hate number theory. I love linear algebra and algebraic topology. But for the last 12 months I have a crush on machine learning. Next term I will accept my flirt with it and attend some lectures on this topic. I know why machine learning is so interesting to me - it's the same way I learn.

The first two years of my math career I had a big lover's quarrel with analysis - took analysis I, II, function theory I, II, measure theory and all that crap. I couldn't live with but also not without it. Today I can perfectly live without it. Please! I do not want to hear "almost everywhere" again...

Cool. It's like syntax hightlighting !


This makes me suffer too.


What kind of machine learning ? Neural networks ?


Good for you.


What does that mean ?

To address your machine learning question: I was working on quite a few machine learning projects in the past but I have never used a neural network. They are powerful but computational not so efficient and the learning process takes a long time compared to many other algorithms. Basically I am using more or less the techniques taught in CS229 (A link to public lectures can be found at stanford engineering everywhere). There is also a more applied class that you can do online and get a certificate (just google: ml class org) if you want to learn it. So 'till now it was more the broader interest, now I want to see some special fields, e. g. I will attend a lecture series about self-driving cars and one about machine learning used in robotics + maybe one in theory of robotics.

"Please! I do not want to hear "almost everywhere" again..." - this was just a sentence I always thought during measure theory lectures. If you attend one you maybe know what I mean. It's difficult to say it in non mathematics language why I said it.

To WrongPlanet!! !

hello

Welkome to WP

Mick