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Kayson Fakhar

@kayson

Post-Doc @camneuro.bsky.social | Computational Neuroscience, Neuro-AI, and a bit more. https://kaysonfakhar.com

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10.11.2023
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Latest posts by Kayson Fakhar @kayson

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Next Thursday (March 19th), at 15 UTC, we host Joana Cabral to tell us more about eigenmodes and resonance decomposition. Read and register here if you'd like to tag along:
cam-ac-uk.zoom.us/meeting/regi...

11.03.2026 18:47 ๐Ÿ‘ 2 ๐Ÿ” 1 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

Interesting ๐Ÿ‘€ didnโ€™t know about that, let me Google

08.03.2026 20:19 ๐Ÿ‘ 0 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Opinion | There Is One Crucial Reason Weโ€™re Talking About Boots on the Ground

Pardon a scientist analysis of the war but this outlines why there will be ground (special) forces in Iran to remove โ€œ18 to 20 canisters" containing ~1000 pounds of highly enriched uranium ...unless IRGC surrenders, which if you know the Shia mindset, they never will www.nytimes.com/2026/03/07/o...

08.03.2026 17:45 ๐Ÿ‘ 4 ๐Ÿ” 2 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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๐—ช๐—ต๐—ฎ๐˜'๐˜€ ๐˜๐—ต๐—ฒ ๐—ฟ๐—ฒ๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€๐—ต๐—ถ๐—ฝ ๐—ฏ๐—ฒ๐˜๐˜„๐—ฒ๐—ฒ๐—ป ๐—บ๐—ฎ๐—ป๐—ถ๐—ณ๐—ผ๐—น๐—ฑ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฟ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฟ๐—ฒ๐—ป๐˜ ๐—ป๐—ฒ๐˜๐˜„๐—ผ๐—ฟ๐—ธ๐˜€ ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—ฏ๐—ฟ๐—ฎ๐—ถ๐—ป?
This looks like a must read (suppl material bursting with goodies).
#neuroskeyence
doi.org/10.1016/j.ne...

08.03.2026 17:14 ๐Ÿ‘ 70 ๐Ÿ” 28 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0

Vibecoded my way through

08.03.2026 15:04 ๐Ÿ‘ 2 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
Mirage

I was a bit frustrated that Iranian regimeโ€™s role in this war is being minimized and peopleโ€™s historical struggle is ignored so I made a game for you to be the people and see where your decisions take you instead:

kuffmode.github.io/mirage/

08.03.2026 14:30 ๐Ÿ‘ 29 ๐Ÿ” 8 ๐Ÿ’ฌ 3 ๐Ÿ“Œ 2
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Threading the needle: Practical considerations for merging theory-driven computational psychiatry with data-driven analytics to enhance precision health at scale The rapidly evolving field of computational psychiatry enables quantification of specific cognitive processes, and their underlying mechanisms, in a translational and potentially scalable manner, usin...

Excited to share our latest paper in which we discuss merging theory-and data- driven computational psychiatry in a large transdiagnostic cohort study (N=2400)

www.biologicalpsychiatrycnni.org/article/S245...

Christopher Pittenger, Godfrey Pearlson @annierhcheng.bsky.social @sobp-org.bsky.social

05.03.2026 19:33 ๐Ÿ‘ 48 ๐Ÿ” 20 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0

Last call: this is happening **today at 14:00 UTC**.

05.03.2026 10:41 ๐Ÿ‘ 2 ๐Ÿ” 1 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

Once you get past the first 5 minutes of me bumbling around clearly in need of media training, we settle into a nice groove talking about fitting mechanistic models, ML/AI for neuroscience, underconstrainedness vs. degeneracy, and its potential benefits for biology (plus some good chuckles).

03.03.2026 12:39 ๐Ÿ‘ 46 ๐Ÿ” 8 ๐Ÿ’ฌ 2 ๐Ÿ“Œ 0
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Fast degree-preserving rewiring of complex networks In this paper we introduce a new, fast, degree-preserving rewiring algorithm for altering the assortativity of complex networks, which we call \textit{Fast total link (FTL) rewiring} algorithm. Common...

Fast degree-preserving rewiring of complex networks arxiv.org/abs/2401.12047

04.03.2026 09:35 ๐Ÿ‘ 2 ๐Ÿ” 1 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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๐Ÿ›ฐ๏ธ Weโ€™re inviting proposals for Satellite Workshops at the #BernsteinConference 2026!

๐Ÿ—“๏ธ Deadline: April 29, 15:00 CEST

More information ๐Ÿ‘‰ bit.ly/3OV2BNO

#BernsteinNetwork #CompNeuro

04.03.2026 08:15 ๐Ÿ‘ 2 ๐Ÿ” 1 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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04.03.2026 06:52 ๐Ÿ‘ 8821 ๐Ÿ” 3298 ๐Ÿ’ฌ 30 ๐Ÿ“Œ 47

Delighted to share this paper led by @hannahmcdermott.bsky.social . We examined dynamics of prediction effects (sharpening vs dampening) and found theyโ€™re completely different across time scales!

04.03.2026 08:29 ๐Ÿ‘ 18 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
Header and abstract page of an original research article in History and Philosophy of the Life Sciences (2026, volume 48, article 12) titled "Modeling versatility as the hallmark of model organisms," authored by Guido I. Prieto and Alejandro Fรกbregas-Tejeda.

Abstract
In recent years, discussions on the epistemology of model organism-based research have emerged in the philosophy of science. A key topic of discussion is how the epistemic insights gained from model organisms differ from those gained through other experimental organisms used in laboratory and field research. Here, we argue that model organisms are epistemically special due to their nature as ontogenetically changeable, standardized, and evolved material model carriers. These characteristics afford six important kinds of modeling versatility that biologists marshal in their investigations: (i) synchronic target versatility; (ii) synchronic scope versatility; (iii) diachronic target versatility; (iv) diachronic scope versatility; (v) manipulation versatility; and (vi) discovery versatility. In presenting these dimensions of modeling versatility, we also clarify key notions such as โ€˜representational target,โ€™ โ€˜representational scope,โ€™ and โ€˜representational powerโ€™ as these apply to modeling practices that involve model organisms.

Header and abstract page of an original research article in History and Philosophy of the Life Sciences (2026, volume 48, article 12) titled "Modeling versatility as the hallmark of model organisms," authored by Guido I. Prieto and Alejandro Fรกbregas-Tejeda. Abstract In recent years, discussions on the epistemology of model organism-based research have emerged in the philosophy of science. A key topic of discussion is how the epistemic insights gained from model organisms differ from those gained through other experimental organisms used in laboratory and field research. Here, we argue that model organisms are epistemically special due to their nature as ontogenetically changeable, standardized, and evolved material model carriers. These characteristics afford six important kinds of modeling versatility that biologists marshal in their investigations: (i) synchronic target versatility; (ii) synchronic scope versatility; (iii) diachronic target versatility; (iv) diachronic scope versatility; (v) manipulation versatility; and (vi) discovery versatility. In presenting these dimensions of modeling versatility, we also clarify key notions such as โ€˜representational target,โ€™ โ€˜representational scope,โ€™ and โ€˜representational powerโ€™ as these apply to modeling practices that involve model organisms.

It has been argued that what sets model organisms apart from other experimental ๐Ÿ‹๐ŸŒฑ is their high representational power. In our latest ๐Ÿ“ƒ, we argue otherwise: the hallmark of MOs lies in the dimensions of modeling versatility they afford to scientists ๐Ÿ‘‡ link.springer.com/article/10.1... #philsci #HPS

25.02.2026 13:42 ๐Ÿ‘ 57 ๐Ÿ” 20 ๐Ÿ’ฌ 2 ๐Ÿ“Œ 0

This is happening tomorrow, and again, mind the -1 hour time shift.

04.03.2026 08:57 ๐Ÿ‘ 2 ๐Ÿ” 1 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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I couldn't find a tool to plot different #neuroimaging data in one consistent style, so I made one! Meet yabplot (yet another brain plot) - a #Python package for (sub)cortex & tracts.๐Ÿง 
- Simple API
- Built-in atlases
- Custom atlas support
๐Ÿ”— github.com/teanijarv/ya... (drop a โญ๏ธ!)

02.03.2026 13:37 ๐Ÿ‘ 57 ๐Ÿ” 22 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0
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This Thursday (March 5th), we're hosting Changsong Zhou, but mind the time shift (from our usual 15:00 UTC to 14:00). Here's the registration link + more information about the talk:
cam-ac-uk.zoom.us/meeting/regi...

02.03.2026 12:26 ๐Ÿ‘ 10 ๐Ÿ” 3 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 2
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Causal parametric language mapping with electrical stimulation during awake neurosurgery Temporal parameters of direct electrical stimulation reveal dissociable stages of language processing.

Beautiful new work on cortical stimulation mapping moving beyond traditional binary classifications of causal functional classifications.

www.science.org/doi/10.1126/...

02.03.2026 00:59 ๐Ÿ‘ 9 ๐Ÿ” 5 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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We think of white matter as the highways of the brain. But when we followed development along those highways, we were surprised. The journey is more complex than we thought. My final PhD paper, โ€œTwo Axes of White Matter Developmentโ€, is now out in @natcomms.nature.com! ๐Ÿ›ฃ๏ธ๐Ÿง โœจ
๐Ÿ”— bit.ly/wm2axes

02.03.2026 01:09 ๐Ÿ‘ 103 ๐Ÿ” 47 ๐Ÿ’ฌ 2 ๐Ÿ“Œ 4

Curious to read the arguments in here (paywalled) because for 4 decades any attempts at even nudging the regime towards normalcy was responded with disproportionate violence. Last time ended with thousands dead within two days so how exactly are we measuring cost that it suddenly got harder *now*?

01.03.2026 19:39 ๐Ÿ‘ 0 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Exploring the Role of the Rich Club in Network Control of Neurocognitive States Using a network control theoretical framework, we found that the brain's rich club does not optimally control dynamics of the brain. Instead, size-matched sets of random peripheral regions had a sign...

๐Ÿšจ New paper from @apodschun.bsky.social (with Sebastian Markett, Urs Braun, and myself)

Exploring the Role of the Rich Club in Network Control of Neurocognitive States

onlinelibrary.wiley.com/doi/10.1002/...

27.02.2026 18:39 ๐Ÿ‘ 21 ๐Ÿ” 10 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

I have waited almost my entire life for this moment โ€ฆ

Ali Khamenei, the dictator, is dead.

Hoping for brighter days and a democratic #Iran.

01.03.2026 02:32 ๐Ÿ‘ 31 ๐Ÿ” 1 ๐Ÿ’ฌ 3 ๐Ÿ“Œ 0

From the top of my head, here some recent ones:

"Two views on the cognitive brain" by @johnwkrakauer.bsky.social, @dlbarack.bsky.social

"Reconstructing computational system dynamics from neural data with recurrent neural networks" by @durstewitzlab.bsky.social et al

1/3

01.03.2026 14:28 ๐Ÿ‘ 31 ๐Ÿ” 7 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0
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๐Ÿšจ New Paper: Controlling the Human Connectome with Spatially Diffuse Input Signals

Now in press at Communications Biology!

www.nature.com/articles/s42...

28.02.2026 23:54 ๐Ÿ‘ 38 ๐Ÿ” 13 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 1
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Live: Iran confirms supreme leader Khamenei is dead after US, Israeli attacks The United States and Israel launched the most ambitious attack on Iran in decades on Saturday, and Iranian state media has confirmed Supreme Leader Ali Khamenei had been killed.

Congrats to Salman Rushdie on outliving a second Supreme Leader

www.reuters.com/world/iran-c...

01.03.2026 03:10 ๐Ÿ‘ 239 ๐Ÿ” 28 ๐Ÿ’ฌ 4 ๐Ÿ“Œ 3

A lot of you know nothing about Iran and Iraniansโ€™ efforts to free themselves from the Islamic Republic of Iran, and it shows. Celebrating the death of the man who terrorized us is the most obvious thing to do. Please stop telling Iranians how we should react.

01.03.2026 04:06 ๐Ÿ‘ 142 ๐Ÿ” 28 ๐Ÿ’ฌ 6 ๐Ÿ“Œ 3

How dynamics arise from the structure is my biggest interest. In this study, we started with a small step and asked how structure constrains dynamics. Spoiler: would that it were so simpleโ€ฆ (1/6)

27.02.2026 10:13 ๐Ÿ‘ 31 ๐Ÿ” 23 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 2

So excited about this preprint: Bottom-up and generative computations uniquely explain neural responses across the social brain

www.biorxiv.org/content/10.6...

An amazing colab led by @manasimalik.bsky.social with Minjae Kim, @tianminshu.bsky.social and @shariliu.bsky.social

Manasi's thread ๐Ÿ‘‡

27.02.2026 14:18 ๐Ÿ‘ 25 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

London #neuroscience people you may like this. We're hosting a series of talks at Imperial & Crick on how to get experiment and theory working together better. Each session will have a talk around this and extended networking / group discussion on the questions raised. Plus, free food!

๐Ÿค–๐Ÿง ๐Ÿงช

26.02.2026 14:27 ๐Ÿ‘ 30 ๐Ÿ” 10 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0
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Compact deep neural network models of the visual cortex Nature - Parsimonious deep neural network models can be used for prediction of visual neuron responses.

DNN models of the brain are getting bigger. Are we replacing one complicated system in vivo with another in silico?

In new work, we seek the *smallest* DNN models of visual cortex, balancing prediction with parsimony.

It turns out these compact models are surprisingly small!

rdcu.be/e5H8G

26.02.2026 22:32 ๐Ÿ‘ 124 ๐Ÿ” 46 ๐Ÿ’ฌ 3 ๐Ÿ“Œ 4