Mehdi Ordikhani-Seyedlar: What happens in your brain when you pay attention?
Mehdi Ordikhani-Seyedlar: Hva skjer med hjernen når du følger med på noe?
Mehdi Ordikhani-Seyedlar is a computational neuroscientist, researching brain signals and their usage in brain-machine interfaces. Full bio
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in so many different directions at a time,
trukket i forskjellige retninger hele tiden.
if you can stay focused.
hvis du klarer å holde fokus.
is all about what we are focusing on,
handler om hva vi fokuserer på,
our brain is trying to filter out.
informasjon hjernen filtrerer ut.
you direct your attention.
å bruke oppmerksomheten på.
you move your eyes towards something
flytter du øynene mot noe
you pay attention to something,
følger du med på noe
your direction of the eyes,
retningen av øynene dine,
the surrounding area,
the brain and the computer.
we can build models for the computers,
bygge modeller for datamaskinene,
how well our brain functions.
hvor godt hjernen fungerer.
can be used as assistive devices
bli brukt som hjelpemiddel
ikke bare med øynene,
an interesting model for computers.
en interessant modell for datamaskinene.
what are the brainwave patterns
or when you look covertly.
eller når ser du skjult...
there are two flickering squares,
er det to flimrende firkanter.
at a slower rate than the other one.
you are paying attention to,
will start resonating in the same rate
i samme hastighet
you are watching
when you pay overt attention,
når du bruker åpen oppmerksomhet
in one of the squares
rett på en av firkantene
we saw that these flickering squares
så vi at de flimrende firkantene
from the back of their head,
of your visual information.
hjernens visuelle informasjon.
when you pay covert attention.
når du bruker skjult oppmerksomhet.
to look in the middle of the screen
om å se på midten av skjermen
to either of these squares.
appeared in their brain signals,
viste seg i hjernesignalene,
which was paid attention to,
den som ble fulgt med på,
the activation of the frontal area.
av fremre hjernedel.
it seems that it works as a filter
jobber som et filter
only from the right flicker
informasjon fra den flimrende firkanten
coming from the ignored one.
kommer fra den ignorerte firkanten.
is indeed a key for attention,
er nøkkelen for oppmerksomhet,
cannot inhibit these distractors,
hemme disse distraksjonene
for a long time on a single task.
på en enkel oppgave over lengre tid.
and he lost complete ability to speak.
og mistet helt muligheten til å snakke.
but there was no way to respond,
men det var ikke mulig for han å svare,
because he was illiterate.
siden han var analfabet.
about images or even letters,
a different brainwave pattern
et annet hjernebølgemønster
communicate for people who can't speak?
kommunisere for de som ikke kan prate?
the thoughts of a person in a coma?
til en person i koma?
ABOUT THE SPEAKERMehdi Ordikhani-Seyedlar - Neuroscientist
Mehdi Ordikhani-Seyedlar is a computational neuroscientist, researching brain signals and their usage in brain-machine interfaces.
Why you should listen
Mehdi Ordikhani-Seyedlar is a research scientist interested in brain-wave patterns generated by neural activities in the brain. Since embarking on his research on neuroscience, Ordikhani-Seyedlar has been working on different brain functions such as learning, memory, pain and, more recently, visual attention in humans. He also conducted a part of his research on monkeys when he was in Dr. Miguel Nicolelis' lab at Duke University. His findings help implement more accurate brain-machine interfaces to treat people who are suffering from attention deficiency.
After receiving his Ph.D in Biomedical Engineering, Ordikhani-Seyedlar was offered a postdoctoral position by Duke University to develop algorithms to process large-scale neuronal activity and brain-machine interfaces. However, due to political complications in the United States, Ordikhani-Seyedlar -- an Iranian citizen -- changed his plan to continue his brain research outside the US for some time.
As a passionate neuroscientist and neuroengineer, Ordikhani-Seyedlar's aim is to improve brain pattern detectability in computers. This enhances the ability of brain-machine interfaces substantially to better target the defected brain function which in turn enhances the sustainability of treatment effect.
Mehdi Ordikhani-Seyedlar | Speaker | TED.com