Kayson Fakhar

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Kayson Fakhar

Kayson Fakhar

@Kaysonfakhar

Post-Doc @mrccbu @Cambridge_Uni | Computational Neuroscience and stuff.

Katılım Ekim 2017
2.4K Takip Edilen1.5K Takipçiler
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Kayson Fakhar
Kayson Fakhar@Kaysonfakhar·
🚨first postdoc preprint alert 🚨 We use game theory and reservoir computing to show the brain is not optimally wired for communication or wiring economy because of a third pressure in the trade-off: computational reliability. biorxiv.org/content/10.648…
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Leonardo Dalla Porta
For more than a century, the study of brain lesions has been central to understanding cognitive processes and normal brain function (e.g., Broca’s studies). However, what electrophysiological signatures emerge following a brain lesion?
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Luiz Pessoa
Luiz Pessoa@PessoaBrain·
𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 𝗲𝗺𝗲𝗿𝗴𝗲𝘀 𝗳𝗿𝗼𝗺 𝗽𝗵𝗮𝘀𝗲 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗼𝗳 𝗶𝗻𝘁𝗿𝗶𝗻𝘀𝗶𝗰 𝗰𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻 Timing is everything! The brain dynamics theme develops further... doi.org/10.64898/2026.…
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Bratislav Misic
Bratislav Misic@misicbata·
Spatial organization of AQP4 channels in the human brain: links with perfusion, edema, and disease vulnerability | doi.org/10.64898/2026.… Aquaporins are a key component of the glymphatic system. How are they distributed + how do they relate to brain function and dysfunction? ⤵️
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Justine Hansen
Justine Hansen@JustineYHansen·
turns out there are many many different types of synapses, each with their own voltage dynamics and response properties (!) We dug into how synapse phenotype is associated with regional dynamics (awake rs-fMRI in mice) - see the publication and bratislav's tweeprint below:
Bratislav Misic@misicbata

Synaptome architecture shapes regional dynamics in the mouse brain | doi.org/10.1371/journa… How do diverse synapses relate to the spatial patterning of whole-brain dynamics? @JustineYHansen explores @PLOSBiology ⤵️

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NetBlocks
NetBlocks@netblocks·
⚠️ Update: Metrics show #Iran remains in digital darkness after six full days under an internet blackout, with 1% connectivity at the 144 hour mark. Meanwhile, the regime continues to promote its agenda through whitelisted networks, cultivating media assets at home and abroad.
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hadar fisher
hadar fisher@hadarfisher·
Now out in npj Digital Medicine 🎉 nature.com/articles/s4174… Our systematic review and meta-analysis examines how well language-based models detect depression from text. We reviewed 123 studies (40,000 + observations) using NLP and machine learning.
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David Clark
David Clark@d_g_clark·
I am totally pumped about this new work. "Task-trained RNNs" are a powerful and influential framework in neuroscience, but have lacked a firm theoretical footing. This work provides one, and makes direct contact with the classical theory of random RNNs. biorxiv.org/content/10.648…
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Ukraine / Україна
nothing beats the death of a dictator 🥳
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Luiz Pessoa
Luiz Pessoa@PessoaBrain·
𝗪𝗵𝗮𝘁 𝗶𝘀 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝗮𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀? Interesting paper tackling this difficult question. Answer (in part): it's complicated! doi.org/10.1088/2632-0…
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Kording Lab 🦖
Kording Lab 🦖@KordingLab·
This paper on how the brain may do gradient descent is very cool: #Sec3" target="_blank" rel="nofollow noopener">nature.com/articles/s4158…
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Jascha Achterberg
Jascha Achterberg@achterbrain·
@DanAkarca spoke to @andrewjb_ on Sovereign Albion about the vision we have for compute and AI at @CallosumAI !
Andrew Bennett@andrewjb_

How to build a new AI paradigm, with @DanAkarca A deeply ambitious new AI infrastructure company, based in London, launches today. @CallosumAI has just raised $10.25m, led by @PluralPlatform, to unlock a world of heterogeneous compute that optimises between performance, cost, speed + sovereignty If they're right, the implications go well beyond efficiency. If Callosum wins, they will build a global company by redistributing leverage globally, breaking our dependency on today’s dominant AI paradigm & rebuilding optionality across the world 00:00 The Brain as an Analogy for AI 04:38 Why One Big Model Fails 06:57 The Heterogeneous Compute Spectrum, from Datacentres to Edge Computing 11:54 Orchestrating Chips and Models 16:58 Supply, Demand and the Hardware Lottery 29:36 Value Beyond Chips 30:43 Bringing Chips to Market 35:50 Dynamic Compute Future 39:22 Funding and Roadmap 43:39 Riskiest Assumptions and Scaling the Team

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Jorge Mejias
Jorge Mejias@jorgefmejias·
Please repost: Applications for the CSHA Computational and Cognitive Neuroscience Summer School are open! Join us this summer in Suzhou for a fantastic and unique experience. Deadline April 1st: ccnss.net
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Luiz Pessoa
Luiz Pessoa@PessoaBrain·
𝗔𝘁𝘁𝗿𝗮𝗰𝘁𝗼𝗿 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻 Looks like a very cool paper about the dynamics of large-scale networks in the mouse brain. Finally it's starting to be all about dynamics! journals.plos.org/ploscompbiol/a…
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Jascha Achterberg
Jascha Achterberg@achterbrain·
We are at a unique moment in time for AI & compute: New accelerators / chips, HPC hardware, and new algorithms have each made strides, but we are not yet orchestrating them as a heterogeneous stack. That is what @CallosumAI is built to do, and today we are sharing our vision 🧵
Callosum@CallosumAI

Today we launched @CallosumAI. We are building the infrastructure where heterogeneous chips & intelligence co-evolve to solve the world's hardest problems. Today we present our first results. Across four large problem spaces, we break SOTA and deliver orders-of-magnitude improvements in capabilities, cost and speed: 12× cheaper deep context. New web SOTA with open-source, 3x cheaper and faster. 2.4× cache speedups. 1,767× faster tool calling. This is the worst our infrastructure will ever be. We do it by co-evolving heterogeneous chips and multi-agent intelligence - workflows aware of their hardware, models aware of their task graph, kernels aware of their output constraints. An Intelligent System. callosum.com/blog/welcome-h…

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Callosum
Callosum@CallosumAI·
Today we launched @CallosumAI. We are building the infrastructure where heterogeneous chips & intelligence co-evolve to solve the world's hardest problems. Today we present our first results. Across four large problem spaces, we break SOTA and deliver orders-of-magnitude improvements in capabilities, cost and speed: 12× cheaper deep context. New web SOTA with open-source, 3x cheaper and faster. 2.4× cache speedups. 1,767× faster tool calling. This is the worst our infrastructure will ever be. We do it by co-evolving heterogeneous chips and multi-agent intelligence - workflows aware of their hardware, models aware of their task graph, kernels aware of their output constraints. An Intelligent System. callosum.com/blog/welcome-h…
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