Kayson Fakhar

@kayson.bsky.social

Post-Doc @camneuro.bsky.social | I do not understand what I cannot break. https://kaysonfakhar.com

𝗡𝗲𝘂𝗿𝗮𝗹 𝘁𝗿𝗮𝘃𝗲𝗹𝗶𝗻𝗴 𝘄𝗮𝘃𝗲𝘀 𝗶𝗻 𝗰𝗼𝗿𝘁𝗲𝘅: 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗺𝗲𝗰𝗵𝗮𝗻𝗶𝘀𝗺𝘀 𝗮𝗻𝗱 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗿𝗼𝗹𝗲𝘀 𝗶𝗻 𝗻𝗲𝘂𝗿𝗮𝗹 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 A must read for systems neuroscience. #neuroskyence doi.org/10.1016/j.ne...

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If an action results in error, each neuron requires an individualized teaching signal that guides change in its output. This is the credit assignment problem of learning. Are there neurons in the brain that can compute such a sophisticated teaching signal? Yes. www.biorxiv.org/content/10.6...

Climbing fibers encode the gradient of a loss function for the cerebellum

Neurons in the brain are often many synapses away from motoneurons, yet if a movement results in error, each distant neuron needs a teacher that considers its specific contribution to production of th...

biorxiv.org

1/ What can resting-state neuroimaging offer cognitive and translational neuroscience🧠? Turns out: a lot! 🧵 Long in the making, short in the reading: “Unlocking spontaneous cognition in the age of data science" is out now in @natrevneuro.nature.com rdcu.be/ftWBh

Unlocking spontaneous cognition in the age of data science

Nature Reviews Neuroscience - Spontaneous brain activity is experimentally unconstrained. Embracing this freedom unlocks rich opportunities beyond task-based and naturalistic paradigms, the...

rdcu.be

"Here we used measurements in awake monkeys to show that the baseline-evoked relationships evident within these two different measures are unreliably coupled between them: baseline-evoked relationships of the pupil are not predictive of those in the LC, and vice versa."

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 2w ago

Limitations of pupil diameter as a proxy for modes of locus coeruleus activity https://www.biorxiv.org/content/10.64898/2026.07.14.738598v1

And Chapter 3 of #ComplexityThoughts is out! If robustness cannot come from adding links without limit, which structures allow living systems to withstand perturbations? Read it here 👉 manlius.substack.com/p/decoding-the-architecture-of-living-e8f 🧵 1/

Decoding the “Architecture” of Living Systems: Chapter 3

DALV-03: loops, the minimal units of redundancy, control, and closure

manlius.substack.com

Manlio De Domenico@manlius.bsky.social · last mo.

Chapter 2 of this #ComplexityThoughts series is out. If living systems have “architecture” w/o an architect: where is this architecture “stored”? Read 👉 manlius.substack.com/p/decoding-t... Feat. @ricardsole.bsky.social @wiringthebrain.bsky.social @hectorzenil.bsky.social 🧵 1/

New paper 🧵 What if the "landscape" that guides cell differentiation isn't fixed, but is sculpted, in real time, by the very cells moving through it? We call this a 'sandscape' : grains of sand that carve dunes as they move, while the dunes' shape simultaneously steers where the grains go next.

Is the brain a computer solved in 4 posts so that we never have to talk about this again (please please please). 1. It's not the same physically as a computer - it's made of meat. Hopefully this one at least is uncontroversial.

I went to ICIS in Panama last week, and the long trip back gave me time to think about how our field is doing and where it's heading. My general take is: there's not enough theoretical and methodological work in our field - but there's also reasons to be hopeful. A thread 🧵

New Preprint! We gave neural networks infant-like curiosity and let them free to explore. They grew brain-like architecture, followed human synaptic development, and even started to display compositional thought. So we think curiosity doesn't just come from a complex mind... it helps us build one 👇

Curiosity shapes brain-like architectures and functions

How does complex cognition emerge from simpler underlying processes? We show that two components are sufficient: infant-like curiosity and brain-like biophysical constraints jointly drive the emergenc...

biorxiv.org

Function is not tied to specific brain structures or time scales. The brain is not just a set of parts that each “do their own job”. Instead, networks are multifunctional and active across different speeds simultaneously. doi.org/10.1073/pnas... #neuroscience

Shared spatial and temporal principles govern connectome dynamics across timescales | PNAS

While the brain processes information at various speeds, little is known about how the functional connectome can concurrently support multiple spee...

doi.org