Sven Dorkenwald Profile
Sven Dorkenwald

@sdorkenw

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162

PhD student @PrincetonCS & @PrincetonNeuro, graduating Aug 2023. Student researcher @Google. Next up: Shanahan Fellow @AllenInstitute

Joined February 2017
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@sdorkenw
Sven Dorkenwald
2 years
We are releasing a whole-brain connectome of the fruit fly, including ~130k annotated neurons and tens of millions of typed synapses! Explore the connectome: Reconstruction paper: Annotation paper: 1/6
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@sdorkenw
Sven Dorkenwald
4 months
Incredibly proud and grateful to be part of the #FlyWire team that made this happen. This was an immensely collaborative project - on every level from early open data sharing, to tool building, to analysis - over many years, across many institutions. It's been a fantastic journey
@FlyWireNews
FlyWire
4 months
Big news! The fly connectome is featured on the cover of a special edition of Nature. This is all possible thanks to the collaboration of 292 members of The FlyWire Consortium! Check out the thread for an overview of the 9 #flywire papers published today
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@sdorkenw
Sven Dorkenwald
4 months
RT @CurrentBiology: Congrats on an epic achievement. What a long way we've come!
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@sdorkenw
Sven Dorkenwald
4 months
RT @uwcnc: "Big buzz! @Nature published ~a dozen papers on the most comprehensive map of neuronal connectivity to date, a connectome of a…
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@sdorkenw
Sven Dorkenwald
4 months
RT @BrainsExplained: Papers reporting the fly whole-brain connectome were published in @Nature today 🎉 and it was my honor to write a News…
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@sdorkenw
Sven Dorkenwald
4 months
RT @FlyWireNews: Big news! The fly connectome is featured on the cover of a special edition of Nature. This is all possible thanks to the c…
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@sdorkenw
Sven Dorkenwald
2 years
RT @DavidZipper: What should we do? 🔹 Tax vehicles by weight. 🔹 Test vehicles for pedestrian and cyclist safety (still doesn’t happen in th…
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@sdorkenw
Sven Dorkenwald
2 years
RT @alin1194: Our paper with @RunzheYang describing the network statistics of the whole-brain connectome of a complete adult Drosophila bra…
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@sdorkenw
Sven Dorkenwald
2 years
RT @fcollman: We posted our pre-print today describing how the Connectome Annotation Versioning Engine (CCAVE) supports analyzing and editi…
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@sdorkenw
Sven Dorkenwald
2 years
RT @PhotonPhilipp: It’s done! LIONESS is out @naturemethods! With the pipeline you can not only create a dense 4D nanoscale reconstructio…
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@sdorkenw
Sven Dorkenwald
2 years
RT @ariadne_ai: Very exciting to see this monumental work out! We are humbled and proud for having contributed to this milestone in neurosc…
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@sdorkenw
Sven Dorkenwald
2 years
RT @YaronMeirovitch: We mapped the connections between high order sensory inputs and memory cells in the octopus brain, first-ever reconst…
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@sdorkenw
Sven Dorkenwald
2 years
@dissel_lab I dont think either is a better representation. There are differences caused by different sources of variability (biological, technical). The "annotations" paper analyzed that nicely Fig 4:
@gsxej
Greg Jefferis
2 years
Building the FlyWire #connectome from the FAFB brain was a massive team effort. But neuroscientists need to find their favourite neurons in this huge dataset. We report an indexed parts list, systematically annotating all 127k neurons (Schlegel et al 1/7
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@sdorkenw
Sven Dorkenwald
2 years
Its like having the map for an entire city where before you only had knowledge of a few streets that others traveled and told you about. Now you can see all the paths, get a better understanding how the city works, and design new experiments using this knowledge. There is more:
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@sdorkenw
Sven Dorkenwald
2 years
@BadMuthaHubbard We were limited by the image dataset that was used. Imaging is always a trade-off and imaging "more" comes with more challenges. Whole CNS image datasets now exist and I am sure they will be used to produce connectomes for all neurons in the coming years.
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@sdorkenw
Sven Dorkenwald
2 years
@SK_R402 The first steps in this direction have been made. We do not have simulations that ultimately "produce" behavior yet though
@GabriellaSterne
Gabriella Sterne, Ph.D.
2 years
Can brain function be simulated using just the connectome? We show in a new study led by @Philip_Shiu that a leaky integrate-and-fire model based on the FlyWire connectome and neurotransmitter identity accurately predicts complete sensorimotor transformations.
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@sdorkenw
Sven Dorkenwald
2 years
The map has small mistakes - the "annotation" paper analyzes that a bit. The TLDR is that this is accurate enough for almost all analyses. Human brains are >100,000x larger and it will take a long time to get there. There is already a connectomics dataset for a human brain sample:
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@sdorkenw
Sven Dorkenwald
2 years
@idgallagher Quite a lot of it is stereotyped but there is variation between brains. Our friends at Cambridge did one of the first analyses on that
@gsxej
Greg Jefferis
2 years
The core connectome is highly stereotyped, but an exception is the #mushroombody memory centre. The most common Kenyon Cell (KCg-m) is ~ 2x as numerous (1100 vs 600) in FlyWire as the hemibrain. We find evidence for homeostatic connectivity changes that maintain E/I ratio /7
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@sdorkenw
Sven Dorkenwald
2 years
@bara_ban A lot of it is stereotyped but there is some variation - we are only now starting to understand what and how much neurons and synapses vary between brains. The "annotations" paper has one of the first analyses on this
@gsxej
Greg Jefferis
2 years
The core connectome is highly stereotyped, but an exception is the #mushroombody memory centre. The most common Kenyon Cell (KCg-m) is ~ 2x as numerous (1100 vs 600) in FlyWire as the hemibrain. We find evidence for homeostatic connectivity changes that maintain E/I ratio /7
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@sdorkenw
Sven Dorkenwald
2 years
RT @AdrianAWanner: The release of the first whole adult fly brain wiring diagram marks a turning point for neuroscience: end-to-end reconst…
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@sdorkenw
Sven Dorkenwald
2 years
RT @BobQubit: The current wave of interest is a good time to also promote our recently updated paper on neurotransmitter prediction directl…
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