
Computational neuroscientist. Co-creator of @neurolib_dev. Modeling brain dynamics, neural populations and sleep.
Berlin, Germany
Joined January 2015
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I've worked in a lot of different sciences and what I've discovered is that each science is its own slightly bizarre alternate reality where the scientific method turned out differently.
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Today, in collaboration with the @Harvard Lichtman Laboratory, we're releasing a novel resource to study the human brain — an imaging dataset covering a cubic mm of cortical tissue with traces of tens of thousands of neurons and 130M annotated synapses. goo.gle/3uEJ4S8
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Today I learned that aggressive baby goats have to wear horn noodles to avoid hurting each other
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Robin Hood is a 501(c)(3) charitable organization. We are not affiliated with any for-profit businesses that use a similar name.
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I posted a number of electrophysiology and signal processing demos here on twitter over the last year. collected them on this page with tags: mnemai.org/demos/
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Here's the final version of the global population density graphic I made, because another one that is circulating was less well defined, and someone cropped NZ off it
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Kicking off round two! Proud to spearhead this diversity effort alongside my co-director Sydney Connor! Below is the interest form for prospective applicants, but if you're a current JHU BME PhD student interested in volunteering as a mentor please DM me for more info 🧬🦠🔬💻
Our interest form is live! Fill out this form to express your interest in receiving application assistance and further information about applying will be coming soon!
forms.gle/Bfnwx3U31U5JA5Gu5
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The EMBL International PhD Programme 2020 Summer recruitment is still open and applicants can apply until 5 April. #PhD #research
Important information about recruitment can be found here: bit.ly/ApplyPhD2020
📸@jeshootscom
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A very stable genius is moving onto unproven combination therapy and providing a reference
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Please join us in congratulating Josh Vogelstein, assistant professor at #HopkinsBME, for earning an @NSF CAREER Award! 👏
His research focuses on developing statistical methods and computational tools to map patterns of connectivity in the brain. bme.jhu.edu/news-events/news…
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This is an amazing opportunity! All the Allen Institute interns I know have gone on to awesome things! @bpedigod @daferna2 @Vanessa87998050 @natweedster
Our internship applications for summer 2020 are open now. Undergraduate and master’s students who are interested in bioscience are encouraged to apply: alleninstitute.org/careers/i…
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Ever wanted to stand inside a mushroom body? Thanks to @CATMAID, #webvr (via Firefox @mozillareality), and a snow day at Janelia this week that left me cooped up with a Samsung Odyssey+, you can.
Drosophila larva connectome reconstruction courtesy @albertcardona @EichlerKathi
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If you're missing @tomka & @WindingMichael's @CATMAID tutorial at #I2K2020 don't worry -- I made them promise not to give away the secrets the real neural circuit reconstruction pros use
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Congrats to our Research Engineer @clairemit9 on presenting her poster titled "Strategy of Motor Unit Activation During Eccentric and Concentric Dynamic Contractions" at #SfN19!
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Taps, swipes - works however the machine wants it to.
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Good morning. Today is going to be a great day. Let’s get after it relentlessly.
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I updated my 2023 roadmap diagram to overlay where the items that were there sit in the current Strawmap ( strawmap.org/ ).
In general, a lot of overlap, but:
* Some things got reshuffled in order (eg. quantum safety up-prioritized)
* Some things deprioritized (eg. VDFs; many EVM improvements)
* Some things replaced with superior constructions (eg. Verkle -> unified BT -> PBT; state expiry -> new state types)
What's most striking, however, is that some completely new things are in the strawmap that are NOT in this diagram, because they were not in the 2023 roadmap at all. These reflect changing priorities.
Notably:
* First-class attention to strong privacy. This covers: keyed nonces and recent roots, aspects of FOCIL, lean privacy pool & wormholes
* Aggressive scaling in the context of post-quantum. This covers: leanSPHINCS signatures and aggregation, zkzk frames (see ethereum-magicians.org/t/eip… )
* Lean-ification of the spec, to assist in formal verification (full FV of everything is only possible because of modern AI)
* Blob and gas futures (this idea just didn't exist back in 2023)
* Native rollups (SNARKs were nowhere near mature enough to even consider this back in 2023)
* A more open design space for the "future of the EVM". zkzk frames already implies that the protocol will expose to users some ISA that's not the EVM - current leading candidates are leanISA and RISC-V. These ISAs are more simple, modern and efficient than the EVM. Once they're there, why not expose them to developers everywhere? (And then, why not turn the EVM into being an IR on top of that ISA, instead of an enshrined feature massively complicating the base protocol?) Though much of the deeper exploration here is too early even for the strawmap.
* New state types are not just a replacement for expiry, they're a fundamentally different paradigm to how Ethereum does scaling
A common theme in scaling, found in both state types and zkzk frames (both new ideas), is that instead of trying to maximally scale ALL ethereum activity, we try to create specialized mechanisms that have more restrictive properties that make them more scaling-friendly, while supporting the heaviest loads incurred by users and applications today (eg. token transfers, swaps) and tomorrow (eg. privacy protocols).
The other common theme is treating STARKs and AI-accelerated FV as first-class objects, that we are okay betting the technical future of Ethereum on. There are recursive STARKs in many layers of the protocol, one particular primitive (the "aggregate to union verified dependencies" primitive) is expected to be used in *three* places in the protocol: EL, CL and DL. This can only be safe with formal verification, which is itself only feasible with modern AI tools.
In general, many steps forward in maturity. And a huge amount of hard work by many dozens of Ethereum researchers and developers on all of these features.
Ethereum will be quantum-safe. Ethereum will put users' privacy first. Ethereum will be secure. Ethereum will be censorship-resistant. Ethereum will be highly performant and scalable while satisfying the above. And Ethereum will be Lean.































