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Prikvačeni tweet
New: "Training deep neural density estimators to identify mechanistic models of neural dynamics” https://www.biorxiv.org/content/10.1101/838383v1 …
@ppjgoncalves@janmatthis@deismic_ Nonnenmacher@kaandocal Bassetto@chc1987@Bill_P_@SaraAnnHaddad@TPVogels@dvdgbg. Our biggest project so far! Thread:Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This looks super cool by
@DavidZoltowski@scott_linderman@jpillowtime will have to dig in! This looks like a great approach to unifying different models of decision making, and thereby embedding them in a unified framework for parameter-inference.https://twitter.com/DavidZoltowski/status/1217925709340872704 …
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Congrats
@lappalainenjk -- impressive to have a first-author computational neuroscience paper from a project started as undergrad and finished early in Masters!https://twitter.com/lappalainenjk/status/1218087311231111168 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jakob Macke proslijedio/la je Tweet
Proud and humbled to have published my very first project in comp. neuroscience. My supervisor Christian asked me, can we derive firing rate learning rules from STDP? Here you go Christian: https://www.frontiersin.org/articles/10.3389/fncom.2019.00026/full …
#learning#memory#tetzlabPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jakob Macke proslijedio/la je Tweet
The MLSS is the best route for young researchers to finding facts and friends in the ML community. This year’s is back at its spiritual home in Tuebingen.https://twitter.com/wittawatj/status/1212395372343107584 …
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Fantastic topic, fantastic directors, fantastic faculty, fantastic location-- highly recommended!!!https://twitter.com/neimarkgeffen/status/1217170520476725249 …
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Jakob Macke proslijedio/la je Tweet
#BernsteinConference 2020. Call for Satellite Workshops now open! http://bit.ly/BC20_WSCall Pls RT@TPVogels@marion_silies@GjorJulijana@jakhmack@fz_juelich@bethgelab@CellTypist@k47h4@visioncircuits@LBNaumann@bccn_berlin@TUBerlinpic.twitter.com/lrDopZNq5p
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... and more on neural density estimators for identifying mechanistic models:
@ppjgoncalves@janmatthis added a new tutorial page, illustrating inference on a two-parameter Hodgkin Huxley model with SNPE step-by-step: http://mackelab.org/delfi/tutorials/quickstart/ …pic.twitter.com/VsieeyUdVe
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Exciting study by
@CellTypist @teuerlab@kfrankelab et al: They show how combing careful model design + prior constraints from literature + modern inference tools (our SNPE https://www.biorxiv.org/content/10.1101/838383v2 …) can yield detailed data-driven biophysical models for retinal neuroprosthetics!https://twitter.com/CellTypist/status/1217112700368670721 …
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Jakob Macke proslijedio/la je Tweet
We have a new paper on
@biorxiv, up now. I wanted to call it “Crushing the Hopfield limit”, but, sadly, I was overruled. Not much time today (flying to the@isiCNI, yay!), but in brief, WE CRUSH IT (the hopfield limit) (and in a cool cool way) (i’m excited) Ready?pic.twitter.com/qjB8bEQIllPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jakob Macke proslijedio/la je Tweet
This work is super similar to the likelihood free inference methods from
@jakhmack's group. (See their STG analysis for comparison. Really, everyone's favorite!) https://twitter.com/jakhmack/status/1194316946931621889 … and https://www.biorxiv.org/content/10.1101/838383v1 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The
@neuroAIworkshop at#neurips19 will be live-streamed today: https://sites.google.com/mila.quebec/neuroaiworkshop/home … Great Talks and Panel! My fantastic student Poornima Ramesh will be speaking at 15:00 (midnight German time...), on Adversarial Training of Neural Encoding Models,https://openreview.net/forum?id=S1xxRoLKLH …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
2) ID in last layers is tightly correlated with test-performance 3) ID is much lower compared to 'linearized' representations with the same covariance-spectrum, suggesting that the representations lie on curved manifolds. Visit
@ansuin's poster and discuss with him!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We used an estimator of intrinsic dimensionality (ID) https://www.nature.com/articles/s41598-017-11873-y … to empirically study how ID changes across layers and networks. 1) ID has a characteristic 'hunchback shape' across different networks.pic.twitter.com/an6mFH43mn
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Ill not be at
#Neurips2019, but@ansuin@sissaschool is presenting work that I helped with, "Intrinsic dimension of data representations in deep neural networks", https://arxiv.org/abs/1905.12784 Poster Tomorrow Tue 10:45-12:45, East Exhibition Hall B + C #169. https://twitter.com/Sissaschool/status/1199644957495181314 …pic.twitter.com/2CxsHoIT0U
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Jakob Macke proslijedio/la je Tweet
We have a PhD opening in my lab
@CentreForCogSci,@TUDarmstadt. Reach out if you are interested in active sensing behavior, naturalistic tasks, computational modeling, POMDPs and IRL. Great people to interact with, not only in my lab but also our collaborators! Please RT!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jakob Macke proslijedio/la je Tweet
Have you or someone you know done great work to promote diversity in neuroscience? Is there a diversity-promoting project or initiative that you’d love to see get recognized? Please send in nominations for this prize of €2000 + free trip to FENS 2020!https://twitter.com/carmensandi10/status/1201552163710885889 …
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Jakob Macke proslijedio/la je Tweet
New Prize from the ALBA
@network_alba and FENS-Kavli@FensKavliNet networks to highlight a scientist or group that has made outstanding contributions to promoting equality and diversity in brain sciences. More info: http://www.alba.network/awards Deadline: March 1st. NOMINATE!pic.twitter.com/AF9hGo8hCZ
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Quick P.S. on https://www.biorxiv.org/content/10.1101/838383v2 …: Why is the full posterior over networks needed? Setting individual parameters is not enough. Each parameter might be `in realistic range', but overall network not. Known eg. from
@MarderLab, but sometimes ignored by brain simulations.#SNPE https://twitter.com/jakhmack/status/1194316946931621889 …pic.twitter.com/7MPDOD6kz4
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Dear toothbrush, If you were truly intelligent, would you not be able to find a more fun job than being a toothbrush?
#PeakAI#AIHypepic.twitter.com/jo2WmrtnrU
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Jakob Macke proslijedio/la je Tweet
A must-read for all those working with models to study neuronal dynamics at the mechanistic level. Exciting approach for parameter tuning by
@ppjgoncalves et al.: Let DNNs do the work to find the right model parameters!https://twitter.com/biorxiv_neursci/status/1194307616366891010 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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