1/ 🚨 Just out in @natneuro.nature.com! 🧠 We profiled >6,000 features of brain dynamics across humans, macaques, marmosets, mice, fish and worms 🧑🐒🐒🐁🐟🪱 to find a shared neural endpoint of anaesthesia: spatiotemporal isolation of local activity 🧵👇 🔗 doi.org/10.1038/s41593-026-02460-4

Excited and grateful for the opportunity to contribute to the British Election Study for the next five years! At King's we will be leading on building the study's AI infrastructure and integrating novel data collection methods. Will be hiring two postdocs soon, so drop me a line if interested 🌞

Royal Holloway@royalholloway.bsky.social · yesterday

Royal Holloway, King's College London and The University of Manchester have been awarded leadership of the British Election Study (BES) - the most authoritative survey of electoral behaviour in the UK. Read more: https://ow.ly/Kykq50ZTX0o PIR at Royal Holloway

Glad that this is put now in @cp-cellrepphyssci.bsky.social A higher order interaction with Alberto Liardi, @rhizoqualia.bsky.social, @frosas.bsky.social and Pedro Mediano.

George Blackburne@rhizoqualia.bsky.social · 2w ago

Interested in understanding collective information structures in complex dynamical systems like the brain? But don't know how to quantify them? We got you covered! Now out in Cell Reports Phys @cp-cellrepphyssci.bsky.social:

New paper from our group :) Inspired by retinal ganglion cell networks, we built an on-chip photonic lasing network that can rapidly learn to solve complex visual tasks, from classification to image segmentation, from scarce training data. Out in Science Advances @science.org t.co/enRyRVgzlI

I am partial towards partial recurrent neural networks!

Marcus Ghosh@marcusghosh.bsky.social · 2mo ago

Now published @commsaicomp.nature.com with @neural-reckoning.org We: 🤖 Define a taxonomy of neural network architectures (here 128 unique structures) 🦾 Train > 25,000 models on different navigation tasks #RL 🧠 Link each architecture's behaviour to its memory dynamics doi.org/10.1038/s444...

Pushed the newest version of Syntropy (a Python package for multivariate information theory) to PyPi. You can get it with `pip install syntropyx`. Additions include: parameteric and non-parametric information rate estimators, KNN-based DKL, and more info decompositions. github.com/thosvarley/s...

What role does Emergence play in Neural Networks? We find that learning emergent low-dimensional representations is key for out-of-distribution generalisation. New Preprint out with @neural-reckoning.org arxiv.org/abs/2607.10430

Emergent Generalization by Representation Learning in Artificial Neural Networks

Dimensionality reduction has proven powerful for identifying neural manifolds, which are low-dimensional structures underlying high-dimensional neural activity. These low-dimensional representations h...

arxiv.org

Beautiful work from the Neural Reckoning lab, Neuromodulation enhances performance and energy efficiency of Spiking Neural Nets!

Dan Goodman@neural-reckoning.org · 3mo ago

New preprint (well, very updated). 🤖🧠🧪 We find that an abstract model of neuromodulation lets spiking neural networks perform much better, particularly in challenging noisy environments, using less energy. Relevant to #neuroscience and #neuromorphic computing. 🧵👇 www.biorxiv.org/content/10.1...

New paper with @doctorjosh.bsky.social, @drmichaellevin.bsky.social, and co-first author Vaibhav Pai. This one is a doozy - in it we show that we can modulate the degree of emergent, multicellular organization in a Xenobot with an exogenous compound (ATP). 1/N www.biorxiv.org/content/10.6...

Purinergic signaling disrupts emergent patterns of multicellular coordination in basal Xenobots.

The ability of self-organizing systems to display emergent, adaptive capabilities is a fundamental feature of biological life. Understanding the mechanisms by which cells co-ordinate at the micro-scal...

biorxiv.org

Are brain oscillations causally relevant or just epiphenomena? Using network-based dimensionality reduction + causal emergence measures, we show oscillations & avalanches exhibit statistical downward causation — the population influences its parts, not just the other way around. Preprint 👇

Better Methods, Better Experiments, Better Neuroscience. Looking forward to this stunning lineup!

Marcus Ghosh@marcusghosh.bsky.social · 7mo ago

How can we build better experiment-theory collaborations in neuroscience? We're hosting a series of 6 in-person, interactive workshops to discuss this. Come along! www.eventbrite.co.uk/e/understand...

PhD opportunity in "The role of neural development in multimodal intelligence" with me, @marcusghosh.bsky.social and @flor-iacaruso.bsky.social. Read details below 👇. Note there's a very short window for applying (deadline Feb 27). 🤖🧠🧪 www.imperial.ac.uk/school-of-co...

PhD opportunities

The School of Convergence Science at Imperial College London is inviting applications for fully funded PhD studentships on research projects that sup...

imperial.ac.uk

Toy models, just in time for Christmas! Excited to share my first article for @thetransmitter.bsky.social #neuroskyence

The Transmitter @thetransmitter.bsky.social · 10mo ago

Amid the rise of billion-parameter models, I argue that toy models, with just a few neurons, remain essential—and may be all neuroscience needs, writes @marcusghosh.bsky.social. #neuroskyence www.thetransmitter.org/theoretical-...