Scientist at Allen Institute. Biorealistic modeling of the primary visual cortex. English/日本語

Seattle, WA
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ANNs can match neural activity. But without biological constraints, they achieve it via the wrong mechanisms. In our new V1 model, biologically constrained training achieves both. Full story from our team leader, @AntonSArkhipov. bioRxiv link: doi.org/10.64898/2026.03.13.…
New paper! Deep-learning-assisted simulation of a cortical circuit: integrating anatomy, physiology and function biorxiv.org/cgi/content/shor… It comes with a new major model release from @AllenInstitute. Find models and code here: github.com/AllenInstitute/bi… 🧵 1/13
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Excited to share our preprint led by @beaherrera with @AntonSArkhipov! Our mouse V1 model reproduces layered cortical rhythms without training on oscillations. A striking prediction: layer 4 drives 50–80 Hz gamma. Great to see the model help uncover circuit mechanisms.
📣 #NewPaper! Circuit and cell-type mechanisms of the spectrolaminar motif of cortical oscillations 🧠 〰️ doi.org/10.64898/2026.11.04.… 🧵 1/
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Shinya Ito retweeted
Paper submission for our 2nd AAAI Workshop on 𝗡𝗲𝘂𝗿𝗼 𝗳𝗼𝗿 𝗔𝗜 & 𝗔𝗜 𝗳𝗼𝗿 𝗡𝗲𝘂𝗿𝗼 is up and running, due 11/20! We'll have archival full and non-archival short papers. All details and the OpenReview submission link are at neuroai-multimodal-workshop.…
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Going to #AAAI2026? Join us at the “Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence” workshop! Co-organized by our own @AntonSArkhipov and @shixnya. 🔗 neuroai-multimodal-workshop.… @RealAAAI
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Brain circuits ↔ AI that keeps learning 🧠 Submit to our Neuro for AI & AI for Neuro workshop at #AAAI2027! Due Nov 20, 2026 · Montréal, Feb 22–23, 2027 Archival long + non-archival short papers Speakers include @criticalneuro; full lineup in flyer. neuroai-multimodal-workshop.…
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Shinya Ito retweeted
Call for papers: NeuroAI 2.0 at AAAI 2027! The 2nd workshop on Neuro for AI & AI for Neuro comes to Montreal, Feb 22-23, 2027 to discuss context-dependent learning and what brains can teach foundation models about adapting. Papers due Nov 20: bit.ly/4kaKGAf
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Shinya Ito retweeted
I am excited and honored that my group is a part of this new initiative. Simulating human brain circuits in health and disease is an ultimate frontier for modeling.
Today I am proud to announce the launch of the Brain Health Accelerator, a global initiative to transform our understanding of brain disease and accelerate the development of new treatments. For more than 20 years, the @AllenInstitute has built foundational data, tools, technologies, and knowledge that have helped reshape neuroscience. Today, we are taking the next step: bringing together scientists, clinicians, technologists, AI experts, patient advocates, philanthropists, and industry partners around a shared mission to tackle some of the world’s most devastating brain diseases. #BrainHealth will initially focus on Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, ALS, and Lewy body disease, while building a radically open and collaborative framework designed to accelerate progress across many neurological disorders. This effort launches with a total commitment of more than $400 million, including $200 million from the Allen Institute (supported by the Fund for Science and Technology), $100 million from the Bezos family, and an additional $100 million from @awscloud, @NIH-supported programs, and @Everything_ALS. We believe the future of brain health will be built through unprecedented collaboration, cutting-edge biology, advanced AI, and open science. Science unites us. Together, we can go farther and create a healthier world. #BrainHealth #Neuroscience #OpenScience #AI #BrainInitiative #NIH #Neurodegeneration #Alzheimers #LewyBodyDisease #Parkinsons #ALS #HuntingtonsDisease
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Human Brain and AI workshop at IJCAI in Bremen! Our colleague, @chen_guozhang, is organizing. An invited talk by our team leader, @AntonSArkhipov. I'm in the program committee. Please check the details on the workshop website: lnkd.in/gJ_63xqs, and submit by May 15!
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Allen Institute has just updated its branding with a new look, including a new logo, font, and visual identity.
New look. Same mission. Accelerate science for a healthier world.
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日本語で適当につぶやくためのアカウントを別に用意しましたので、気になる方はフォローをいただけるとありがたいです。 @shixnya_jp 今後こちらのアカウントでは英語の投稿が中心になると思います。
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At #Cosyne2026 this week in Lisbon. Poster: Deep-learning-assisted simulation of a cortical circuit: integrating multimodal datasets. Poster 3-097 • Sat afternoon cosyne.org/poster-session-3
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Allen Institute で私が所属しているモデリングチームは毎年夏にソフトウェア (BMTK, SONATA, VND) のワークショップをしています。今年は07月20から22日の日程で行われます。応募締切は3月15日となっています。全額ではありませんがトラベルサポートもあります。alleninstitute.org/events/20…
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Going to #AAAI2026? Join us at the “Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence” workshop! Co-organized by our own @AntonSArkhipov and @shixnya. 🔗 neuroai-multimodal-workshop.… @RealAAAI
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Check out our #Sfn2025 posters this afternoon: @shixnya and @beaherrera present simulations of cortical neurons and circuits and Paul Olsen talks about linking in vivo ophys with spatial transcriptions.
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Have YOU submitted your work to the AAAI 2026 NeuroAI workshop? Thanks to all who did. If not yet, please submit an abstract (2pg) or paper (8pg) by 10/30! We'd love to see your work. See details on our lovely flyer and at neuroai-multimodal-workshop.…. @NeuroAI_WS_AAAI @RealAAAI
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⏰ Less than one week to the submission deadline for the AAAI 2026 Workshop on Neuro for AI & AI for Neuro. Abstracts (2pg) and papers (8pg) due October 30th AOE. Submission instructions here: neuroai-multimodal-workshop.… We'd love to see your work!
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東北大学での講義、いよいよ明日になりました! 神経科学の基礎から、モデリングの現状、今後の展望、AIとの絡みまで広い範囲で話そうと思っています。お楽しみに!
10/21(火)の日本時間10:30-12:00に東北大学AIEにて「ディープラーニング技術を用いた大脳皮質シミュレーション」の題で講演をします(珍しく日本語です)。参加登録することで外部者も聴講できるようです。aie.tohoku.ac.jp/event/
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📢 Less than 2 weeks left⏳to submit your #NeuroAI work to the upcoming @NeuroAI_WS_AAAI workshop at @RealAAAI, happening Jan 27, 2026, in Singapore 🇸🇬 Call for Papers: neuroai-multimodal-workshop.… A great chance to share your work, network, and hear top NeuroAI speakers. @tibbtech
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