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Prikvačeni tweet
My paper is out on
@biorxivpreprint! We explored movement signals in visual cortex and found a lot of surprising things.https://twitter.com/biorxivpreprint/status/1218316714309570566 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Grigori Guitchounts proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Grigori Guitchounts proslijedio/la je Tweet
Professor Sam Reiter, the head of OIST's new Computational Neuroethology Unit, is studying sleep and perception in cephalopods. Read about his fascinating research here! http://bit.ly/2GG19bS pic.twitter.com/c3xNQiaUhV
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Can you imagine not publishing 9 out of 10 tweets you compose?
https://twitter.com/timminglab/status/1223902574241140738 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Grigori Guitchounts proslijedio/la je Tweet
"The Borges story, 'On Exactitude in Science,'"
@guitchounts writes, "reminded me of Lichtman’s view that the brain may be too complex to be understood by humans in the colloquial sense, and that describing it may be a better goal."http://nautil.us/issue/81/maps/an-existential-crisis-in-neuroscience …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
“[the Chinese] ‘know that no other brain (besides that of humans themselves) can be a true help in making progress.’” A true help? Progress toward what exactly? This is wild.https://twitter.com/sylvain_baillet/status/1221986890754281473 …
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Grigori Guitchounts proslijedio/la je Tweet
"the Cartographers Guilds struck a Map of the Empire whose size was that of the Empire, and which coincided point for point with it" Beautifully melancholy piece by
@guitchounts on the noble, seemingly futile quest to understand the brain: http://nautil.us/issue/81/maps/an-existential-crisis-in-neuroscience … via@NautilusMagHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Not to be too sensational, but what this will mean for the future, I think, is that machines will 'understand' our complex datasets much better than we can. Question is: will they explain it all back to us or will we be left behind?
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Most interesting part of all this is that
#machinelearning and#deeplearning are transforming how connectomics datasets are analyzed (Lichtman's collab w/@googIeresearch is fueling this work, automatically segmenting electron microscope images of human cortex)...Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
But even if you're describing something, you have to already have a notion for what's important to pay attention to and what's not. This makes even describing complicated datasets such a challenge...
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Lichtman's take on this was that it's better to start by *describing* what you see. Trying to test pre-existing hypotheses is "ass-backward," even though that's what so many neuroscientists are forced to do b/c it's been impossible to gather detailed data on large scales...
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This convo was prompted by my own anxieties over understanding data I gathered in my PhD work (~48TB), which pales in comparison to connectomics data. The question: how do you even begin to understand something so complex?...
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I had the good fortune to talk to Jeff Lichtman of
@MCB_Harvard@harvardbrainsci about connectomics and understanding ginormous datasets!...https://twitter.com/NautilusMag/status/1220391175372333058 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Grigori Guitchounts proslijedio/la je Tweet
"There’s no point when you can suddenly say, ‘I now understand the brain,’ just as you wouldn’t say, ‘I now get New York City.’" Many beautiful quotes from Jeff Lichtman and others in this gem of a piece from
@guitchounts in@NautilusMaghttp://nautil.us/issue/81/maps/an-existential-crisis-in-neuroscience …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I imagine this is a bit like how the robots of Westworld felt when they first discovered the control roomhttps://twitter.com/upidaisy/status/1218924372976656386 …
2:20Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Plus! It all depended on amazing previous work by
@georg98keller,@anne_churchland,@cris_niell,@MatteoCarandini,@kennethd_harris,@Aman_sal,@marius10p,@computingnature, T Margrie, J Whitlock,@schneiderneuro, R Mooney,@pgolshani,@jess_cardin, and many more!

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This work more or less sums up my PhD
@harvardbrainsci and couldn't have been done without my awesome co-authors@javier_masis,@SBE_Wolff, and@neurobongo! I'm also immensely grateful to@BOlveczky and@Datta_Lab (paper is *mostly* adverb-free!) for comments on the manuscript!
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Vision, too, is an active sense. Animals make all sorts of movements that affect neural dynamics in visual areas, but we rarely study vision in freely moving animals...
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I'm super excited about this work because it changed the way I think of vision. While vision is normally studied as a passive sense, IRL animals interact with their sensory environments. The sense of touch involves whisking and palpation; olfaction involves sniffing; etc...
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Where do these signals come from? Many studies pointed to a secondary motor cortex (M2), which projects to V1 directly. So we lesioned M2 and... presto all the direction signals disappeared...pic.twitter.com/TW2jjuKGSB
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