WEBVTT

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I have been thinking about that

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because mice for example

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obviously they don't go into a room

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they don't open a door to go into a room

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but they have burrows and things like that

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they go underground and they may have rooms

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and they may have rooms,
that will have different acoustics.

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Often when you are moving through open space,

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the sound of a river - let's say -

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can come quite suddenly

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depending on the geography.

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So you can have instances,
where the sound is more gradual.

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But you can also have instances,
where there is a sudden increase

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or change in the acoustics.

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So I think that relationship between movement

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an how sound changes

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is extremely evelutionary
relevant for all animals.

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That's because we have
the anechoic space, the anechoic chamber.

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That is very artificial.

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If you are out there in the real life

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in real world

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relevant

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you will basically have always reflections

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and if it's just the reflection on the ground.

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The only time when you don't have that

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if you are on the top of the mountain
and there is fresh snow.

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The limitation in improving brain reading,

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so these techniques that map mental states

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to brain states,

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is not just the limitation of MRI.

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That is a big problem.

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But the biggest problem is actually

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that you need labels when you use
machine learning approaches.

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A lable means:

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What is the person, who is in my scanner,
is experiencing right now?

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And this is a problem of phenomenology.

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That is actually one of the biggest
challenges in this field.

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In my eyes, we have a fundamental

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possibly even principle
limitation in phenomenology.

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Oh sure dualismus is

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not a very convincing position.

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But as long as monism

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only offers a stupid explanation,

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Yes please let's drive for dualism

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just to keep the question open.

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I am joking, but I mean this very seriously.

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So far neuro science
does not offer us

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any convincing explanation.

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Nobody doubts

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that emotions are
bodily processes

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that thinking is related
to bodily processes.

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But ther is no clue

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how these bodily processes

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are related to what's meaningful

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in the way how we interpret

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and experience our emotions

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or how we develop thoughts.

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And I think this brings to the point

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what self-organization is:

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because you have microsopic rule

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and you get a macroscopic pattern

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which is not represented in this microsopic rule.

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What I wanted to comment

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on your stochasticity and hidden rules.

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I really like the idea of unfolding:

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unfolding is where a factor of time plays a role

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unfolding is where a factor of time plays a role

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and choices are made.

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But once you make one choice

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you have only another choice to make and not all freedom of choices.

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And that's a kind of evolutionary system.

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Maybe you can think for the next symposium of this sort

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to invite some sort of developmental biologist

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to speak about it from a conceptual point of view.

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That would spice up the discussion.

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Art exists right in the moment

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or flourishs,

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it grows from its humus,

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when it starts to speak
to its surroundings.

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And this enviroment is reacting,

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when this impulse

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creates a resonance.

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The resonance in turn

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leads to an interpretation.

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Then you are involved in a process

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and that is a negotiation.

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That is what art stands for to me.

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Dissonance is something completely different

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in my opinion, at least in science:

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This is rather the primal confusion,

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the origin for everything

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you want to discover

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is the initial confusion

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provoking questions how can that be?

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That makes no sense.

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And this dissonance is exactly
what drives us all the time.

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This is exactly, what we are looking for.

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I do not believe in mythologies
of self-organisation and

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self-organising systems,
as long as there are still humans involved.

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However, there are always moments

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when biological complexity

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can actually become a role model

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and continues to set the standard.

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That is actually basically
the ideal case.

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Because what we now have with
new network grammars

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in machine learning and AI

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is still based on crude simplifications.

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And precisely these insight such as

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how to generate the
motives in the network

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and what are the learning rules,

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that you implement there,

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this requires mental work

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and also accumulation of evidence.

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That is essentially where I think
investments need to be made,

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really into theory.

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This changed obviously in the late

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sixties and seventies,

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when this word neuro science also came up.

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That's a kind of process.

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That's not without complications,

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that we now take this for granted

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that these transfers can be made.

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Well, just speaking personally,

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the greatest feeling of happiness is there,

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when you disprove yourself.

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In other words, when you ultimately realise

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that what you previously assumed

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with a certain satisfaction

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is actually quite different.

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And that's just exactly it,

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that is really the moment
when you have found something new -

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that is THE moment!