I once again have high expectations from this talk!
Introduction about Riitta Hari by @hovatta with the long list of achievements that I will not mention here for lack of space. :) #brainandmind
RH: "is the brain fast or slow? it seems to be a bit of both" #brainandmind
RH: "quoting @RodolfoLlinas "We know about the brain almost everything, except how it works""
RH: "Neuroscience suffers tunnel vision unless continuous with ethology, ecology, and evolution" Ted Bullocck, Science 1984 #brainandmind
RH: "Triumph of connectome" lots of excitement to map connections of different brain regions and see which parts of the brain are active #brainandmind
RH "static pictures are not helpful though..." #brainandmind
(note, that's why I love GIFs!)
RH "Time scales of the brain" the top influences the bottom and viceversa although the time scales of the brain are at a limited range ncbi.nlm.nih.gov/pubmed/20392277
RH is now talking about multiple time scales from sound delays for localization ( < ms) to slow mood changes (>s)
Reaction time depends on alternatives Merkel 1885. #brainandmind
RH: but what about football?? The goalkeeper has to anticipate, there is not enough time to react
RH "multisensory asynchrony is tolerated up to 200-300 ms" or "sluggish perceptions" e.g. by mismatching binaural left-right clicks.
RH: "So is the brain slow or fast?" fastest myelinated fibers are at 100m/s (360km/h), slow unmyelinated 0.5 m/s (1.8 km/h) #brainandmind
(personal note, it is very complicated to think at the temporal scales of the brain, there was an interesting figure from this recent review by @spornslab and @DaniSBassett that remakes and extend the original picture on types of neuroimaging methods ncbi.nlm.nih.gov/pubmed/28230844)
RH is talking about tradeoffs btw fiber speed and density now. There are so many references that I can't keep up #brainandmind
RH: "fibers can be dense or fast, not at the same time" #brainandmind
RH talking about compression like video compression where we store only the changes of pixels, rather than all the pixels. "predictive coding" #brainandmind
RH: "reacting fast: some tricks -> inhibiting improper movements" Cerebellum and basal ganglia (as well as the whole brain) play important role in inhibition #brainandmind
RH: "social interaction is complicated" ... but goes surprisingly effortlessly. "we thought that communication is ping pong playing sending and receiving, but no!" #brainandmind
RH "communication is more like three legged walk" the two runners with one leg tied with each other. #brainandmind
RH:"so how can we catch a scene so fast?" Rich experience is an illusion because humans are so strongly foveal animals."people are looking at the world at a fixation at a time and then followed by saccade suppression: how can we get such a rich feeling of the env?" #brainandmind
RH making the audience smiling with the classic paper from link above.
RH: "people should go back to the original literature form 100s years ago to understand the radio"
RH concluding "how to react fast with a slow brain?" "if you want a better answer, ask a better question" #brainandmind
Talk is over
(it was so difficult to keep up with all the citations, I have missed at least 30%... for sure @aivoAALTO is too fast)
Questions on how to merge and combine all the multiple levels. RH "there are many opinions, some physicists think that everything can be explained by lower levels" (personal note: and the search for universality and free scale loved by (some) physicists) #brainandmind
Q: what do we miss as biologists? do we miss something we don't understand? (e.g. collaborators from other fields). RH: "we are missing behaviour very badly". (my note: I COULDN'T AGREE MORE SORRY FOR SCREAMING)
RH stating also the importance of studying the environment as well as circadian rhythms and the physical laws (as in how we move in space) #brainandmind
Q: why do we have two hemisphere? Kai Kaila: we are bilateral animals and so the crossing (left right crossing of major tracts to get integration)
KK: "the quote of Llinas is misleading, does it makes sense to ask if we understand how the brain works?" RH: the idea of RL is to provoke of course, we would need some framework not just more data (personal note: yes! #bigdata is not going to save you dear scientists)
Q: vision and aural system are so different when it comes to temporal scales (I cannot write down the question because I did not understand it, sorry, no offence :))
This is important. Yes, re-identification of de-identified brain MRIs is possible, but it is considered to be a crime under GDPR, implemented as “data protection” laws in EU (each country made their own laws and legal consequences).
Pseudo-anonymisation assumes that it is “highly unlikely” to re-identify the data. This means that for those cases in which it becomes trivial to reidentify a subject (eg rare case study subject), special care is needed and it should be the ethical committee with the researcher..
...to decide on benefit for science/society vs potential harm to the individual. Also: I believe that sensitive data can still be shared on a per request basis as done by human connectome project or ADNI, but legislators have still to finish their job as these relate...
In this study we run three web experiment asking how we perceive 100 common feelings by assessing them i) over 5 dimensional scales, ii) similarity between them iii) how they map on the body and iv) collected similar terms from @neurosynth 2/7
Results showed 5 robust clusters with DBSCAN and visualization with tSNE gave clear components related to emotional valence as well as mental saliency. 3/7
As somebody pointed out already, pyramid schemes are everywhere outside academia. I’d love to work as a (data) scientist for a non-profit NGO, but as soon as profits are involved I start to question the ethic of my work. 1/n
Academia is still one of the most ethical options (if done with integrity and transparency) as I feel I am putting my skills for the benefit of society, even if basic scientific research cannot be directly translated into applications. 2/n
In my opinion the issue is that the system supports only the rockstar PI culture: there are basically no permanent positions for staff scientists. You can only become a PI/professor or leave. 3/n
I’m a Matlab “guru” (or so they say) since 1999, but I’ve decided to switch to Python as the future for me can only be there. Here’s a nice book to do the switch enthought.com/white-paper-ma… 1/n
Don’t get me wrong, I love Matlab. I’ve done anything with Matlab from signal processing toolboxes to art installations (!). 2/n
I’ve made music with Matlab and beautiful scientific pictures. But I feel like a scientist from 100 years ago who was publishing articles in German (or French or Italian). All languages are beautiful and can be used to express anything... 3/n
Excellent educative talk based on measures from structural MRI and their correlations with for example age. See ncbi.nlm.nih.gov/pubmed/27103141
Chris @cMadan is now talking about fractal dimensionality: a measure how complex a structure is (a sphere has low fractal dim.) which also correlates with age.
Brainhack Global 18 in Finland has just started with prof. Em Riitta Hari @aivoAALTO talking about the unsolved questions in neuroscience #bhg18#bhg18fi
"how good are your data?" often theory comes before data (e.g. physics) and many labs do same experiment and results are combined #bhg18#bhg18fi
"animal models, are we using the best species out of 8M species in the planet?" #bhg18#bhg18fi