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christopherjwhyte.bsky.social
Computational neuroscientist. PhD student in the Shine lab at Sydney Uni. Research associate at Monash M3CS. Interested in spiking networks, large-scale brain dynamics, consciousness, and complexity. www.ChristopherJWhyte.com
29 posts 551 followers 470 following
Prolific Poster

Do you work on surface MRI such as HCP data? Our paper is finally out in Imaging Neuroscience, showing biases in surface fMRI. The revised ms has many new insights! TLDR: Vertices are much closer to each other in sulci, resulting in (fake) high spatial autocorrelation. (1/5)

2.5 years after ‘the great debate’ at ASSC Amsterdam, we revisit it: Lamme, @standehaene.bsky.social , @smfleming.bsky.social , Boly and @anilseth.bsky.social present their theories, and Melloni and myself try to extract some insights and criticisms. >>> www.sciencedirect.com/science/arti...

Is scientific intuition real? One definition: a scientist has good intuition if they design experiments which yield important results without necessarily being guided by an underlying theory. They "just know" what to do. I think a lot of what we call intuition is basically luck.

The agents are coming! ‘Digital humans’ in a virtual world www.thetransmitter.org/neuroai/digi... cc @thetransmitter.bsky.social

@earlkmiller.bsky.social and I are starting the MIT Consciousness Club—a series of conferences on consciousness science held at MIT. More information to come soon!

Just out today: journals.aps.org/prl/abstract... We ask: How can biological oscillator systems switch between different propagation patterns without requiring finely tuned connections or local inputs? #neuroskyence #compneurosky #NetworkScience #complex #scisky #neuroscience

Saying farewell to @jaysonjeg.bsky.social who just completed a lovely PhD (plus his training in psychiatry) ... he is off to join the @macshine.bsky.social lab & no doubt achieve great things

Check out this fabulous paper led by @bethfisher.bsky.social with @christopherjwhyte.bsky.social on optimism bias! @monash-m3cs.bsky.social

Excited to have our new paper out in @cpsyjournal.bsky.social 🎉✨ with my amazing co-authors @christopherjwhyte.bsky.social @hohwy.bsky.social We develop an active inference model of the optimism bias to model development, belief updating and optimistic action. cpsyjournal.org/articles/10....

Does the culture you grow up in shape the way you see the world? In a new Psych Review paper, @chazfirestone.bsky.social & I tackle this centuries-old question using the Müller-Lyer illusion as a case study. Come think through one of history's mysteries with us🧵(1/13):

informal announcement: we'll be doing a *cluster* hire of faculty in theoretical/computational neuroscience in the coming year(s). a senior/mid-career person could be selected to bring in 2-3 more ppl of their choosing (subject to committee approval), or we could otherwise hire together a group 1/

🎉 eLife is pleased to announce Timothy Behrens (@behrenstimb.bsky.social) as our new Editor-in-Chief! A distinguished neuroscientist and long-time supporter, Tim will lead our efforts in transforming research communication for all.

The saga continues: significant decoding of voluntary imagery in early visual cortex *during aphantasia* - but a lack of cross-decoding with perception, maybe suggesting different sensory formats? www.cell.com/current-biol...

If you take a standard neuron model (e.g., leaky integrate-and-fire) and you expose it to Poisson inputs, you generally get a non-Poisson output spike train. So why are neural spike trains approximately Poisson?

What if… spontaneous neural activity 🧠 reflects the baseline rumblings of a brainwide dynamical system initialized for learning? We find that the rumblings have macroscopic properties like those emerging from linear symmetric, critical systems 🧵 #neuroscience #neuroAI www.biorxiv.org/content/10.1...

Pre-print 🧠🧪 Is mechanism modeling dead in the AI era? ML models trained to predict neural activity fail to generalize to unseen opto perturbations. But mechanism modeling can solve that. We say "perturbation testing" is the right way to evaluate mechanisms in data-constrained models 1/8

Fantastic news that Andy Clark is the inaugural winner of the #DennettPrize, in honour of Daniel Dennett. Congrats Andy 🍾🍾🍾 super-well deserved @sussexuni.bsky.social hardproblem.it/projects/the...

Long time coming. A very cool project that showcases the advantages of single neuron adaptation in RNNs. #PLOSCompBio: Neural networks with optimized single-neuron adaptation uncover biologically plausible regulari ... dx.plos.org/10.1371/jour... Props to V. Geadah and co-authors!

AI heralds a golden age for clinicians who want to name new disorders; just throwing some out there: Fournier Jitters: a particular form of anxiety, in which the person affected cannot make a decision or voice opinion without checking first with an AI assistant

Excellent interview of @neddo.bsky.social (www.youtube.com/watch?v=wM1f...)

Our review on the theoretical status of oscillations and field potentials is out! What are their effects, and what can electrophysiology signals reveal about how the brain works? w/ @dlevenstein.bsky.social @prokraustinator.bsky.social Bradley Voytek @rdgao.bsky.social www.cell.com/trends/cogni...

The saddest news. I was fortunate to count Eleanor as a mentor for many years. She did some of the most innovative and exciting memory research in my lifetime, and was always hugely supportive of others, particularly those early in their careers. A devastating loss.

the reviewer’s insightful suggestions have made our paper more accessible

📣 First three years of my PhD have culminated in this work now published at PLoS Computational Biology! 🥳 We take a deep dive into all the many ways we can slice n dice fMRI dynamics to quantify biologically relevant properties 🧠🧮 doi.org/10.1371/jour...

Seems like a nice dataset from @labnir.bsky.social in Scientific Data--> www.nature.com/articles/s41.... Looking forward to having a look at it! @natureportfolio.bsky.social

Suddenly mad that we'll never get a Discworld book in which the wizards invent something like Large Language Monsters that eat everyone's stuff before regurgitating it, and Vimes arrests them all for being bloody stupid

@anilseth.bsky.social Here is the CIFAR starter pack - go.bsky.app/BHfVbU7 Give it a retweet please

Some of you might enjoy my lectures on "asymptotics and perturbation methods". youtube.com/playlist?lis... These are ingenious methods for approximating the solutions to integrals and differential equations by exploiting the presence of a small or large parameter in the problem.

1/ What a fantastic CIFAR BMC Winter School on the Neuroscience of Consciousness, here in Puerto Morelos 🇲🇽. Muchisimas Gracias to the organisers, the brilliant @chriskrupenye.bsky.social @introspection.bsky.social & Catherine Ducolos - & also to Templeton World & CIFAR for supporting it.

Thrilled to have had the privilege of interacting with this outstanding group of young consciousness lovers at the CIFAR winter school! Huge thanks to the great organizers, Chris Krupenye, Catherine Duclos and Guillaume Dumas. And to TWCF! In the comment, a less dignified photo

Had a blast with CIFAR buddies in Cancun. It was great fun and an exciting science program. Got to meet so many new students during the Winter School on Consciousness. @anilseth.bsky.social @meganakpeters.bsky.social @introspection.bsky.social @liadmudrik.bsky.social @drmichaellevin.bsky.social

Holiday gift from the lab. Phenomenal work by Dr. Xu Han @xuhan87.bsky.social out in Dec 16 issue of @currentbiology.bsky.social reveals the functional anatomical organization of first- and higher-order visual circuits in the mouse. Really proud of this work. Check it out! doi.org/10.1016/j.cu...

Brian Eno on AI www.bostonreview.net/forum_respon...

At long last, the article by Jenny Huang & me on the "universality test" for quantifying the statistical evidence of small-sample studies is published in Psychological Methods: doi.org/10.1037/met0... #PsychSciSky #VisionScience #neuroskyence Meri Kirihimete & enjoy your summer break y'all! ☀️🎄 🥂

Hi BlueSky fam, for my first post and to celebrate our recent paper being physically published I thought I’d do a summary thread! This has been my most favourite (and toughest) work to date. Please help share around!! www.cell.com/cell/abstrac... (Reach out if you can’t access)

This looks cool and jives with a lot of what we are doing just now in ThinC Lab cc @hardigirl.bsky.social @ravenwallace.bsky.social @louischitiz.bsky.social @leechbrain.bsky.social

I dream of a future in which single neuron dynamics ➡️ circuit motifs ➡️ distributed computations are taught as part of the same curriculum and no one bats an eye and everyone is happy.

Does it even make sense to ask if AI has killed Marr's three levels of analysis, if Marr's framework is a product of our own thinking, one of many possible ways to understand a system that is multiscale in nature? We (@christopherjwhyte.bsky.social and I) summarise our thoughts here below!🤗

Our review on Metastability has been published in Nature Reviews Neuroscience - you can view it here rdcu.be/d3bh9. Fantastic collaboration involving experts from the UK, the US, Spain, Australia and Portugal.

what is "neuroAI"? It's clearly a thing, because it's such a buzzword, but what is it? It'd be great if someone could write up a post an essay on what it IS and what it ISN'T on @jocnforum.bsky.social . not here. on @jocnforum.bsky.social. The daily chatter on here is fine, but it's ephemeral. This

The issue is perhaps this: biological neurons are cells, artificial neurons are just a piece of code. H1: this difference doesn't matter as all computation is done by weights & spiking patterns H2: this difference matters, as weights & spiking are just one aspect To me, this is far from settled.

New @jocnforum.bsky.social post by @christopherjwhyte.bsky.social and @giuliaabaracc.bsky.social: New Framework Same Old Mistakes (Response to 'Has AI “killed” Marr’s ‘three’-levels framework?' by @bradpostle.bsky.social) doi.org/10.21428/8e6...

Dang, I have to buy the new edition as well 😁😅 Thanks Steve! @stevenstrogatz.com ps. This video of Kuramoto talking about Kuramoto model never gets old: youtu.be/lac4TxWyBOg?...

I've been arguing that we will be able to train foundation models on neural data from different species, because I suspect that there are sufficiently preserved motifs in neural computation across the phylgenetic tree. This paper appears to support that idea! www.cell.com/cell/abstrac... 🧠📈 🧪

Transition paths across the EMT landscape are dictated by network logic. A 🧵 on the perils of ignoring logic in ODE models of gene regulatory networks (GRNs) 🌟 also read on if you like: EMT, bifurcations, multistability, or Waddington-esque landscapes www.biorxiv.org/content/10.1...

Biophysical modeling of thalamic reticular nucleus subpopulations and their differential contribution to network dynamics https://www.biorxiv.org/content/10.1101/2024.12.08.627399v1

Finally published: “Metastability demystified — the foundational past, the pragmatic present and the promising future” rdcu.be/d3bh9 All about metastability: what the heck it is, how to measure it in models and data, and how to interpret it in neuroscience!