mrburnst @mrburnst1
Neuroimaging of babies and animals at day... and night 💤💤💤 cir.meduniwien.ac.at Vienna, Austria Joined June 2020-
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What seemed like an intractable problem is now possible: To design proteins with a specified nonlinear mechanical response, capturing complex folding and unfolding mechanisms in singe and few-shot computations. We present ForceGen, an end-to-end algorithm for de novo protein…
After seven (7!) years of work with >20 researchers at 10 different institutions, we are super excited to release NextBrain, a next-gen probabilistic atlas of the human brain with 333 regions: github-pages.ucl.ac.uk/NextBrain Preprint, data, code, videos, and much more in this 🧵(1/5)
Ok - I am OBSESSED with AI generated stereograms. Cross your eyes until each image overlaps… then your eyes locks and it has 3D depth!
“How does the primate brain combine generative and discriminative computations in vision?” The preprint of our @CogCompNeuro Generative Adversarial Collaboration (GAC) is out: arxiv.org/abs/2401.06005
1/ New preprint! "General Anaesthesia Reduces the Uniqueness of Brain Connectivity Across Individuals and Across Species" biorxiv.org/content/10.110… Each individual has unique brain activity 🧠But what happens when anaesthesia temporarily suppresses subjective experience? 🤔
I've just projected the HCP Multimodal Parcellation (MMP, Glasser et al. 2016) to 2 popular stereotactic spaces (FSL's and fMRIprep's defaults) using registration fusion, the gold standard. This may be the best volumetric cortical atlas publicly available. doi.org/10.6084/m9.fig…
🧠🚨 Exciting News! I am proud to announce that our research on human #fetal #brain development, led by @OMNI_Oxford and @intergrowth21st at the @UniofOxford and several years in the making, is now published in @Nature. Here are our key findings: nature.com/articles/s4158…
Neuroscience of Consciousness evolutionary origins of the Global Neuronal Workspace in vertebrates academic.oup.com/nc/article/202…
Introducing BrainLM 🧠🤖the first foundation model for #fMRI analysis trained on 6,700 hours of brain activity data! Fine-tune for specialized tasks or leverage zero-shot inference capabilities! @WuTsaiYale @YaleCompsci @YaleCBB @YaleMed biorxiv.org/content/10.110…
Neocortical Neurogenesis in Development and Evolution edited by WIELAND B. HUTTNER is out doi.org/10.1002/978111…. Superb resource to learn about cortical progenitors; lineages; specification; migration; patterning; cortical regionalisation; folding; disorders; evolution.
Excited to share our review on the use of network models for cross-species translational neuroscience! nature.com/articles/s4158… led by Kate Brynildsen (gif below from @academicmatou)
Scientists have constructed the first comprehensive set of functional maps of infant brain networks, providing unprecedented details on brain development from birth to two years old. elifesciences.org/articles/75401…
Recording for my OHBM2023 keynote talk is now available through Youtube youtube.com/watch?v=z8MkmB… slides are on our website metrics-lab.github.io/talks/. Get in touch if you have any questions or requests. I know a few interested people missed it so please RT
Recording for my OHBM2023 keynote talk is now available through Youtube youtube.com/watch?v=z8MkmB… slides are on our website metrics-lab.github.io/talks/. Get in touch if you have any questions or requests. I know a few interested people missed it so please RT
Brain Computations and Connectivity oxcns.org/papers/Rolls%2…
From fossils to mind nature.com/articles/s4200… 👆Awesome review paper on the use of fossil remains to infer cognitive and behavioral abilities in extinct hominins
With the advent of AI assistants, humans depend on their outputs at an unprecedented rate. It is vital that these models be aligned with human abilities, judgements, and preferences. Self-supervised video pretraining yields a big step towards human-aligned visual representations
If you're interested in sex differences in brain anatomy across species (humans and mice) come check out my poster @ 12:15 - 14:15 / #962. #OHBM2023 @bogglerapture
Previous studies have described evolutionarily relevant fMRI networks in mammals 🐁🐒👨 But how can we relate these networks across species? And is their *dynamic organization* also evolutionarily conserved? Here's what @danielgb_87 et al found! ➡️tinyurl.com/t9pwst36 🧵1/n
The brains of domestic dogs show significant gray matter asymmetry which appears to relate to historical selection for some working skills, does not scale with brain size, and may be on par with primate brain asymmetry! New paper now out in @BrainStrucFunc.
The brains of domestic dogs show significant gray matter asymmetry which appears to relate to historical selection for some working skills, does not scale with brain size, and may be on par with primate brain asymmetry! New paper now out in @BrainStrucFunc.
AI image synthesis tools are redundancy processing machines: they feed on repeating patterns in their training data, digest them, compress them, & spit them out again, sometimes in strangely distorted ways. This is particularly apparent in Midjourney's new »Zoom Out« feature 1/7
katja heuer (🐘 @k4.. @katjaQheuer
4K Followers 5K Following into brain dev & evo, open science, art & science https://t.co/TQa8DjB1tK, music, making, javascript, contemporary dance https://t.co/k9aOhGE6tfLuiz Pessoa @PessoaBrain
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4K Followers 5K Following into brain dev & evo, open science, art & science https://t.co/TQa8DjB1tK, music, making, javascript, contemporary dance https://t.co/k9aOhGE6tfLuiz Pessoa @PessoaBrain
38K Followers 1K Following Neuroscientist interested in cognitive-emotional brain Author of The Entangled Brain (MIT Press); The Cogitive-Emotional Brain Neuroscience & Philosophy SalonCLaE @leafs_s
25K Followers 10K Following Neuroscience,Insular cortex, Neurobiology RT≠endors I do not reply to direct messages mstdn: @[email protected] Bluesky: @claeneuro.bsky.socialRoxane Licandro @_Roxane_L
520 Followers 547 Following PostDoc at @MedUni_Wien @cir_lab and @MGHMartinos @HarvardMed; @WiCVworkshop @FIT_NGIn @pippiworkshop @fetachallengeJB Johnston Club 🧠.. @JBJohnstonClub
369 Followers 232 Following Official account of the Johnston Club for Evolutionary Neuroscience. The world's leading organization in #EvolNeuro. Media management ➡️ @BrainEvolKording —-& Lab �.. @KordingLab
42K Followers 4K Following Konrad kording, @Penn Prof, deep learning, brains, #causality, rigor, https://t.co/tTJW05RjpC, https://t.co/qf7ZHxiCUt, Transdisciplinary optimist, Dad, Loves outdoors, 🦖bioRxiv Neuroscience @biorxiv_neursci
54K Followers 0 FollowingCIR Lab @cir_lab
221 Followers 163 Following Computational Imaging Research Lab at the Medical University of ViennaDr Alessio Veneziano .. @AlessVeneziano
625 Followers 945 Following I am a BioAnthropologist with an inordinate fondness for science, nature, R, bones and primates! Proud co-organiser of @AHEADmeeting_Àlex Gómez-Marín @behaviOrganisms
3K Followers 2K Following Theoretical physicist by training, neuroscientist by chance and necessity, and Bergsonian at heart. Husband and dad.Lucina Uddin @LucinaUddin
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668 Followers 383 Following Prof of Machine Learning in Medical Imaging at Medical University of Vienna, heading the Computational Imaging Research Lab @cir_labEarl K. Miller @MillerLabMIT
36K Followers 2K Following Picower Professor of Neuroscience at MIT https://t.co/UoEeD2FzEY https://t.co/GJDAccXAW8 https://t.co/my1do6xTn1FriedericiLab @FriedericiLab
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7K Followers 1K Following Research director | @McGillU @Mila_Quebec @IVADO_Qc | My team designs machine learning frameworks to understand human-defining brain circuits | biotech advisorSubbarao Kambhampati .. @rao2z
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15K Followers 869 Following Computer Vision @roboflow. Open-source. GPU poor. Dog person. Coffee addict. Dyslexic. | GH: https://t.co/dEmzMDGq5H | HF: https://t.co/4Lx1Yw34W7Paul Scotti @humanscotti
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19K Followers 76 Following A non-profit research lab focused on interpretability, alignment, and ethics of artificial intelligence. Creators of GPT-J, GPT-NeoX, and VQGAN-CLIPGuy Parsons @GuyP
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227 Followers 110 Following Reinforcement Learning, Generative Modeling @ FAIR (@AIatMeta). PhD @UChicago.will grathwohl @wgrathwohl
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14K Followers 1K Following researcher in #deeplearning #computervision | assistant professor at @NYU_Courant @nyuniversity | previous: research scientist @metaai (FAIR) @UCSanDiegoMartin Bauer @martinmbauer
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482 Followers 376 Following PhD student in 3D Computer Vision @AIatMeta / @Oxford_VGG | X17 @Polytechnique | https://t.co/9pRirsmqff https://t.co/U668erUjkdAssembly Party @assemblyparty
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106 Followers 121 Following #ai & #Datascience Leader aka DataHulk, Author of 2 books, Advisor Ramanujan Machine, Sponsor of MITLemelsoneurekafestAmazing resolution! So useful for morphometrics 😍
Here's a mouse embryo (E14.5) prepared with our new, rapid & robust collagen staining protocol. Fast Green is an efficient counterstain for collagen rich tissues & embryos 🐭🔬 @genevunige @Biologie_UNIGE @sciences_UNIGE @UNIGEnews cell.com/iscience/fullt…
Toward a neuroscience of natural behavior by Cisek and Green sciencedirect.com/science/articl…
Our most recent article has just been published📢📢 We conducted a comparative analysis of the telencephalic regions🧠 across three distinct species of reptiles, employing MRI technology: a snake🐍, a lizard🦎, and a turtle 🐢. link.springer.com/article/10.100…. @nereamorenoUCM
Unser Annotationsteam in Wien bei Kapsch TrafficCom macht „dank ihrer Handicaps Mautsysteme besser“. Autist*innen nehmen Details in der Bildannotation viel besser wahr und schrauben so die Qualität in die Höhe. Das ist unsere Kompetenzgruppe Annotation! krone.at/3294788
🎉 Stoked that @ErnstRoell's first Ph.D. work "Differentiable Euler Characteristic Transforms for Shape Classification" was accepted @iclr_conf #ICLR2024 👉A new, super fast topological layer (based on Euler Characteristic Transform) #geometry #topology #MachineLearning 🧵1/n
My PhD Thesis is now available to read! It presents a mathematical foundation for neural networks that is end-to-end, uniform, and prescriptive. I'm incredibly excited about it. You can find it at brunogavranovic.com/assets/Fundame… and summarised at the following blog post…
@sirbayes There IS work like that on transformer arxiv.org/abs/2312.10794
Paper is now out in @eLife 🐵🦓🧠🐈🦔🐕🦇🦭🦥 cerebellar folding amazingness! elifesciences.org/articles/85907 together with a summary article of our work elifesciences.org/articles/93122 & a press release elifesciences.org/for-the-press/… with @R3RT0 @nicolas_traut @AleAliSousa @sofievalk @institutpasteur
🧠🐒🐐🦘🦙🦌🐷🐻❄️🦫🦁🐑🐇🐈🦔🐕🦇🦭🦥🦓We’ve been diving into the mesmerising anatomical diversity and evolution of cerebellar folding across 56 mammalian species with @R3RT0 @nicolas_traut @AleAliSousa @sofievalk biorxiv.org/content/10.110… Check it out in a short thread 🔽
Cameras as Rays: Pose Estimation via Ray Diffusion Jason Y. Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, @RamananDeva, @shubhtuls tl;dr: predict a separate ray passing through each patch in each input image->least-square->camera extrinsics&intrinsics arxiv.org/pdf/2402.14817…
Are curious about the Multi-Center #FeTA2022 #MICCAI challenge results? Have a look at the @arxiv paper here ➡️ arxiv.org/abs/2402.09463 @PayetteKelly @_Roxane_L @AndrasJakabMD @menze_group @HongweiBran @MeriBach @lanavasung @FIT_NGIn @PIPPIworkshop
beluga A general implementation of Monte Carlo Localization (MCL) algorithms written in C++17, and a ROS package that can be used in ROS 1 and ROS 2. github.com/Ekumen-OS/belu…
What seemed like an intractable problem is now possible: To design proteins with a specified nonlinear mechanical response, capturing complex folding and unfolding mechanisms in singe and few-shot computations. We present ForceGen, an end-to-end algorithm for de novo protein…
Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything github.com/OpenCalib/Cali…
This was an entertaining debate between @ylecun and the inimitable neuroscientist, Karl Friston: youtube.com/watch?v=SYQ8Si… I don't think their positions are very different in the end - in David Foster's wonderful Generative Learning book (2nd edn. [1]), there is a summary of how…
After seven (7!) years of work with >20 researchers at 10 different institutions, we are super excited to release NextBrain, a next-gen probabilistic atlas of the human brain with 333 regions: github-pages.ucl.ac.uk/NextBrain Preprint, data, code, videos, and much more in this 🧵(1/5)
A next-generation, histological atlas of the human brain and its application to automated brain MRI segmentation | bioRxiv biorxiv.org/content/10.110…
DiffMatch: Diffusion Model for Dense Matching (ICLR'24 Oral) ku-cvlab.github.io/DiffMatch/
In these exciting times for mixture-of-experts (MoE) models, I am happy to share our paper “Routers in Vision Mixture of Experts: An Empirical Study” with @mblondel_ml, @rikelhood, and @joapuipe: arxiv.org/abs/2401.15969
GPT-4V "Describe this image" 🔃 Dall-E 3 "Generate this image" Recursive loop