See it as an invitation to co-create the type of interdisciplinary creative environment you wish existed.
Apply now, priority deadline 1 August.
ursprung.community
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Betsy Herbert
24 posts
Betsy Herbert
@_betsyherbert
Computational neuroscientist and artist. Currently building Ursprung, better environments for interdisciplinary creativity
Munich, Germany Katılım Aralık 2019
245 Takip Edilen98 Takipçiler
We're gathering a group of creative practitioners from completely different fields for four days, and turning the castle rooms into working studios.
You bring what you're working on and whatever you need to work on it, and you get at least twenty other serious minds on it.
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Open call for artists, scientists, technologists and more to join us at Castello di Rocca Sinibalda, a castle in the hills north of Rome, October 1-5.
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Betsy Herbert retweetledi
Happy that our paper on positional information in disordered networks is out (PRE, Editor's Suggestion): journals.aps.org/pre/abstract/1…
TLDR: Don't worry too much about some disorder - you will probably still find what you look for.
Thanks to Rémi Monasson for the great collaboration!
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How does experience-dependent plasticity affect representational drift ?
We made mice wear goggles to find out....
Modelling work with @GjorJulijana and phenomenal experiments by @LewinUwe and @Neuro_Joel.
If you're at #BernsteinConference, come hear more at poster sesh III
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Betsy Herbert retweetledi
Want to learn different theoretical and experimental techniques in neuroscience research? Want to dive into the mathematical and experimental details of how/why things work, and when things break down?
Join us for the Bernstein Student Workshop Series.
bernstein-network.de/en/teaching-an…
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Betsy Herbert retweetledi
Why do we need SO many cell types in the retina? Efficient coding theory can begin to answer that! I am happy to announce that my new work “Efficient coding, channel capacity and the emergence of retinal mosaics” with @GregDField & @jmxpearson is accepted to #NeurIPS2022! more👇
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Betsy Herbert retweetledi
Theory 🧵 time! Back in grad school I learned about mean-field models, a method from stat mech for describing emergent dynamics of a system. In the 90's, several groups developed MFMs as a tool for studying cortical dynamics: academic.oup.com/cercor/article… ieeexplore.ieee.org/abstract/docum…
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Betsy Herbert retweetledi
Excited to head to the #BernsteinConference in Berlin. We have open postdoc positions 👇 so get in touch if you want to meet up and chat.
Julijana Gjorgjieva@GjorJulijana
We have openings for PhD and postdoc positions at TU Munich. See www1.ls.tum.de/compneuro/open… for descriptions on the topics of synaptic plasticity and circuit development, or get in touch. Flexible deadlines and starting dates.
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I'll be presenting this recent work with @ostojic_srdjan at the upcoming #BernsteinConference.
Drop by to hear how sparsity impacts the dynamics of low-rank RNNs.
The poster and I will be at your disposal on Thursday 15th 👋
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Betsy Herbert retweetledi
New article: "Emergent hypernetworks in weakly coupled oscillators"@NatureComms @nodds_lab @khasedutr
Sparse recovery reveals a normal form of network dynamics: hypernetwork dynamics!
nature.com/articles/s4146…
Eddie Nijholt, Jorge Ocampo-Espindola, @KissGroupSLU, @TiagoMaths
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Betsy Herbert retweetledi
As the Symmetry, Invariance and Neural Representations Workshop at #Bernstein2022 🇩🇪 (co-organized w/ @ari_dibe) is approaching, we’d like to present a collection of threads showcasing our speakers’ research. The first one is about @tserre’s work on vision models 🧵1/24
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Betsy Herbert retweetledi
Dear Neurotwitter community, we just pushed “The Eigenvalue Value (for Neuroscience)" by Dr. Georgia Christodoulou @OneMoreGeorgia & me for your consideration and gentle review. It's a piece of work that I am superbly happy with & grateful to Georgia for. osf.io/evqhy
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Betsy Herbert retweetledi
I love how Vladimir makes use of polarities and logical operations to derive the Klein-4 group here. Think it is a good way to approach what I want to do with resources in this thread: to create a logical characterization of algebraic structures: x.com/DiracShore/sta…
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Betsy Herbert retweetledi
Betsy Herbert retweetledi
Our work has been published in @Nature!!
(G)NNs can successfully guide the intuition of mathematicians & yield top-tier results -- in both representation theory & knot theory.
dpmd.ai/nature-maths
arxiv.org/abs/2111.15161
arxiv.org/abs/2111.15323
See my 🧵 for more insight...
Google DeepMind@GoogleDeepMind
A new paper in @Nature details how machine learning was used to make significant new discoveries in pure mathematics by guiding the intuition of some of the world’s top mathematicians from @Sydney_Uni and @OxUniMaths: dpmd.ai/maths-blog Paper: dpmd.ai/nature-maths 1/
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Tonight opening of Machine Hallucinations — Coral public art NFT project at Faena Beach @AoristArt ! Let’s meet at 6pm!:)
Miami, FL 🇺🇸 English
Betsy Herbert retweetledi
The interactive course notes are underway. I'll release them sometime in January when the course begins.
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Betsy Herbert retweetledi
this project has been all about imagining what I want scientific infrastructure to work like and then building it. working on embedding the logical structure of an argument in a paper...........
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Betsy Herbert retweetledi
I've recently been asked the following question:
"Let's say I have two spare days and want to really understand GNNs. What should I do?"
My answers led me to revisit my old 'hints for GNN resources' in light of the new material I've (co)produced. See the thread for a summary!
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