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Prikvačeni tweet
We are preparing for code release of
#celegans#wholeintegration neuro-mechanical model & started a GitHub Repo + Blog: https://shlizee.github.io/CelegansWholeIntegration/ … We will post existing & new videos and hope to create a collection of generated locomotion scenarios with the#celegans community!pic.twitter.com/W7U7K0gp37Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Departing LASCON today. Enjoyed every moment of this wonderful school!pic.twitter.com/a7WvlTTSGr
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Discussion at LASCON: mapping
#connectome and behavioral outcomes should also have an#omics term — “benome”
!?!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Eli Shlizerman proslijedio/la je Tweet
Our new article with the
@group_schroeder on photoaffinity probes for receptor identification in Nematodeshttps://twitter.com/OrgBiomolChem/status/1222202871715975168 …
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Discussing analysis of structural and dynamical
#connectome in the first two lectures of the mini-course at#LASCON. Of course it doesn’t go without interactive question of “what the#connectome is good for?”pic.twitter.com/ChFeor6vEm
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Eli Shlizerman proslijedio/la je Tweet
Please RT: Registration for the 2020 Brain Connectivity Workshop (June 21-23, Toronto - right before
#OHBM) is OPEN https://www.eventbrite.ca/e/bcw-2020-registration-91158199629 …pic.twitter.com/KCORKIMVmT
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At NeuroMat center at Univ São Paulo which hosts LASCON ( comp Neuro summer school). Love the classroom with so much board space!pic.twitter.com/2UcC33lzzC
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Eli Shlizerman proslijedio/la je Tweet
Proud to introduce
@janeliaflyem "hemibrain"#hemibrain: a connectome of the Drosophila central brain. https://www.biorxiv.org/content/10.1101/2020.01.21.911859v1 ….@stardazed0@michalj Please see overview website: https://www.janelia.org/project-team/flyem/hemibrain … Play with data on neuPrint: https://neuprint.janelia.org/Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Most detailed map of
#fruitfly brain connectome is released. Full connectome expected in 2 years!https://twitter.com/hhmijanelia/status/1220010488072933376 …
0:59Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
On my way to LASCON2020 Latin American Summer school in computational neuroscience In São Paulo, Brazil! Excited to teach a mini-course on from connectomics to dynamics to behavior.
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Preparation for our lab hardwarathon where a team of students will build and set up a custom GPU machine.pic.twitter.com/9cXKE7msyv
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Really enjoying our lab meetings format this quarter: Hackathon projects were we go through design, planning, and implementation of cool project at interface of
#neuroscience and#AI.https://twitter.com/shlizermangrp/status/1220109170717757441 …
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Eli Shlizerman proslijedio/la je Tweet
I am very excited, to finally share this: https://www.nature.com/articles/s41593-019-0576-z … Using a functional
#connectomics approach we uncovered a mechanism for whitening, a fundamental computation that decorrelates neuronal population activity for pattern classification by memory networks.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Eli Shlizerman proslijedio/la je Tweet
We'd also like to thank again our newest Deputy Editor Tim Behrens, who took over from Eve after she stepped down at the end of 2019https://twitter.com/eLife/status/1215271600028823553?s=20 …
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Eli Shlizerman proslijedio/la je Tweet
"Her passion and devotion to eLife as a Deputy Editor has left a mark that has made neuroscience our most popular subject" After serving with distinction as a Deputy Editor since April 2015, we thank Eve Marder for her contributions https://elifesciences.org/inside-elife/40ac7626/elife-latest-our-thanks-to-eve-marder …pic.twitter.com/tIWrFJ84Xl
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Excited toward our lab “hack-a-meetings” this quarter !!

https://twitter.com/shlizermangrp/status/1215466899150012425 …
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Eli Shlizerman proslijedio/la je Tweet
This is a cool way to build highly specific prior knowledge into neural nets: via highly specific loss functions https://arxiv.org/abs/1609.05566 Don’t just maximize likelihood of the data or predict the next frame—build all the constraints you can know into the loss and make NN satisfy.
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Eli Shlizerman proslijedio/la je Tweet
Trying to understand how a bioelectrical circuit determining head/tail identity in regenerating planaria can exhibit the amazing bistable (stochastic) property - computational model: https://www.sciencedirect.com/science/article/pii/S1567539419305493 … (movie by Junji Morokuma)pic.twitter.com/A2GJzYVAFq
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Human-Level Artificial Intelligence without understanding biological intelligence?https://towardsdatascience.com/towards-neuroscience-grounded-artificial-intelligence-9d592ace4314 …
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Panel of future of
#Neuro-#AI is on!@neuroAIworkshop#neuroaiworkshoppic.twitter.com/5kNjVo2FTs
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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