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Prikvačeni tweet
Fresh on
@bioRxiv. Latent trajectory analysis of MT ensemble spike trains reveals mis-aligned subspaces of stimulus and decision codes.#tweeprint https://www.biorxiv.org/content/10.1101/2019.12.20.884189v1.full … Collaboration with Huk lab.@yuanz271@jcbytspic.twitter.com/O0grpowbPF
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I gotta retweet on Monday, 9 am ET.https://twitter.com/neuroecology/status/1222969421968429060 …
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Il Memming Park proslijedio/la je Tweet
We have an amazing lineup of speakers (2 days worth!): Day 1:
@leaduncker,@memming,@neurograce, Krinstin Branson,@scott_linderman,@shreyaneuroctrl,@NeuralCodeUMD,@srinituraga,@anqiwu_angelaPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Il Memming Park proslijedio/la je Tweet
Cosyne schedules are up! Be sure to come to our workshop (organized w/
@mikio_aoi@anqiwu_angela@joshuaiglaser and Matt Whiteway) "Interpretable computational neuroscience: What are we modeling and what does it have to do with the brain?"https://sites.google.com/view/cosyneinterpretablecompneuro/about …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
If they do live-stream (starting this morning), it'll be on http://scgp.stonybrook.edu/live
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Il Memming Park proslijedio/la je Tweet
Metastable attractors explain the variable timing of stable behavioral action sequences https://biorxiv.org/cgi/content/short/2020.01.24.919217v1 …
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Il Memming Park proslijedio/la je Tweet
The professor who does not answer your email probably feels hopelessly overwhelmed. I was surprised that the average feeling is so strong.https://twitter.com/KordingLab/status/1219653884865437699 …
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Il Memming Park proslijedio/la je Tweet
The Alda Center is hiring a
#Science Communication Specialist! RT!
Apply here: https://bit.ly/2tutFdn
#Scicomm#DigitalCommunication#ScienceTwitter#AcademicChatter#AcademicTwitter#ScicommJobpic.twitter.com/HCxtyMrKYo
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Il Memming Park proslijedio/la je 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 -
I believe they plan to record most of the talks and might live steam. I'll keep y'all posted.
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Computational neuroscience workshop with excellent speakers including Vijay Balasubramanian, Nicolas Brunel, Jim DiCarlo, Stefano Fusi,
@SuryaGanguli, Barry Richmond, Bruno Averbeck,@rajankdr,@CPehlevan,@Braden_Brinkman and many more. Happening on@stonybrooku campus.https://twitter.com/SBUNeurobiology/status/1218163562872483840 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Il Memming Park proslijedio/la je Tweet
New paper with
@DavidZoltowski and@scott_linderman, which unifies a panoply of decision-making models (1D accumulation-to-bound, multi-D race models, discrete stepping, hybrid ramp+step models, collapsing bounds, etc) into single recurrent-state-space modeling framework!https://twitter.com/DavidZoltowski/status/1217925709340872704 …
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#cosyne2020 tutorial details updated! http://www.cosyne.org/c/index.php?title=Tutorial_2020 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Il Memming Park proslijedio/la je Tweet
Insights* from the interface of theory and experiment: -Hardest thing for a mathematician to learn: just because the math is right doesn't mean the model is. -Hardest thing for a biologist to learn: just because the model is wrong doesn't mean it's not useful.
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Il Memming Park proslijedio/la je Tweet
For years, I simulated perceptual/cognitive model predictions by running a large but fixed number of simulations (whether 250 or 10,000). Until Bas and Luigi opened my eyes to the errors of my way. Check out their preprint for a powerful combo of enlightenment and code.https://twitter.com/AcerbiLuigi/status/1216948951959658497 …
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Il Memming Park proslijedio/la je Tweet
"Inverted Encoding Models Reconstruct an Arbitrary Model Response, Not the Stimulus"; sounds very interesting...
#IEM#fMRI@C_Allefeldhttp://www.eneuro.org/content/6/2/ENEURO.0363-18.2019 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Interpretable AI workshop, April 3 (Friday), 2020 in NYC. Free event but requires registration. Space is limited! https://interpretable2020.wordpress.com/
#MachineLearningpic.twitter.com/JKaTqeXPCg
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Methods: all analysis of latent space was done using vLGP http://dx.doi.org/10.1162/NECO_a_00953 …. MT ensemble was well described by 4-D latent space. (also
@yuanz271's brilliant work)pic.twitter.com/3a8wpYYPcs
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Furthermore, the choice-correlated variability in the null-space appears much later during the trial, suggesting that this is feedback information from the decision-making process! This information could be useful for learning and adaptation.pic.twitter.com/CT5hROqWpB
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Our analysis suggests that a large portion of choice-correlated variability in MT is in a subspace NOT aligned with the sensory encoding and lives in the *null-space*!pic.twitter.com/KfU7sNcHII
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But it could also be due to feedback, i.e., noisy temporal integration of sensory evidence can be contributing to the apparent variability in MT. Depending on the alignment between the sensory-coding subspace and the choice-correlation, there are several possibilities:pic.twitter.com/q7QfeYVpTI
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