New preprint! What happens if you add neuromodulation to spiking neural networks and let them go wild with it? TLDR: it can improve performance especially in challenging sensory processing tasks. Explainer thread below. 🤖🧠🧪 www.biorxiv.org/content/10.1...

Truly honored (and a little overwhelmed) to see our work featured in The Transmitter's "This Paper Changed My Life." Huge thanks to @neural-reckoning.org for the kind words - and to our amazing community that keeps pushing spiking neural network research forward 🙏

The misleading manifold? The current debate (decoding vs causal relevance) and a toy example I gave in the thread below got me thinking about a related issue: how decoding may reflect structure more than function. 🧵 1/5

Proud to have been a part of this, a great example of distributed async science! Huge thanks to @marcusghosh.bsky.social, @neuralreckoning.bsky.social, @tfiers.bsky.social, @krhab.bsky.social and others for putting in the bulk effort 🙌

Being part of this grassroots 🌱 neuroscience collaboration was a great experience! Keep an eye out for our next collaborative effort

I'll be presenting this work at #CCN2025 tomorrow (A173). Come and say hi or message me if you'd like to meet up!

How does the structure of a neural circuit shape its function? @neuralreckoning.bsky.social & I explore this in our new preprint: doi.org/10.1101/2025... 🤖🧠🧪 🧵1/9

Preprint update: The new version of #SPARKS🎇 is out! Everything's in here: sparks.crick.ac.uk A thread on what changed 🧵👇 @flor-iacaruso.bsky.social @sdrsd.bsky.social @alexegeaweiss.bsky.social #neuroskyence #NeuroAI #ML #BioInspiredAI

Hiring a post-doc at Imperial in EEE. Broad in scope + flexible on topics: neural networks & new AI accelerators from a HW/SW co-design perspective! w/ @neuralreckoning.bsky.social @achterbrain.bsky.social in Intelligent Systems and Networks group. Plz share! 🚀: www.imperial.ac.uk/jobs/search-...

How can we best use AI in science? Myself and 9 other research fellows from @imperial-ix.bsky.social use AI methods in domains from plant biology (🌱) to neuroscience (🧠) and particle physics (🎇). Together we suggest 10 simple rules @plos.org 🧵 doi.org/10.1371/jour...

New preprint for #neuromorphic and #SpikingNeuralNetwork folk (with @pengfei-sun.bsky.social). arxiv.org/abs/2507.16043 Surrogate gradients are popular for training SNNs, but some worry whether they really learn complex temporal spike codes. TLDR: we tested this, and yes they can! 🧵👇 🤖🧠🧪

Had a great time discussing multisensory integration @imrf.bsky.social! And really enjoyed sharing our new work too

It’s been a minute (11 years) since my last @imrf.bsky.social I’m excited to seeing all the great research. And I’m delighted to give a talk on Friday about Rebecca Brady’s PhD new modelling studies in collab w @bizleylab.bsky.social and @jennycampos.bsky.social 1/2 www.biorxiv.org/content/10.1...

Off to my first @imrf.bsky.social conference! I'll be giving a talk on Friday (talk session 9) on multisensory network architectures - new work from me & @neuralreckoning.bsky.social. But say hello or DM me before then!

Had a great time teaching on the @trendcamina.bsky.social summer school in Zambia! Awesome students and super TAs: @akoumoundourou.bsky.social, @tomnotgeorge.bsky.social, @jsoldadomagraner.bsky.social, @ashvparker.bsky.social, @pollytur.bsky.social, @skuechenhoff.bsky.social

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...

(1/7) New preprint from Rajan lab! 🧠🤖 @ryanpaulbadman1.bsky.social & Riley Simmons-Edler show–through cog sci, neuro & ethology–how an AI agent with fewer ‘neurons’ than an insect can forage, find safety & dodge predators in a virtual world. Here's what we built Preprint: arxiv.org/pdf/2506.06981

The Centauromachy begins

🚨Preprint Alert: Who Does What in Deep Learning? Multidimensional Contribution of Neural Units using Game Theory: arxiv.org/abs/2506.19732 The result of my MSc thesis is out with @kayson.bsky.social @fatemehhadaeghi.bsky.social @patrickmineault.bsky.social @kordinglab.bsky.social, Claus C. Hilgetag

How should #multisensory signals be combined when they are structured in time? To explore this, we: * Introduce a new multisensory task * Compare several models TLDR: * Prior models perform suboptimally * Our new model performs ≈ an RNN, while using less than 1/10th the number of parameters.

Looking forward to reading this #multisensory paper! 👀➕🔊

Really interesting work from @solarpunkgabs.bsky.social & @neuralreckoning.bsky.social!

Fellows from @imperial-ix.bsky.social, including myself, recently visited AIMS Cape Town! We ran tutorials to show the students how we apply methods from AI to different scientific domains; from particle physics to public health (@ojwatson.bsky.social) and #neuroscience.

Really neat work from @yang-chu.bsky.social & @neuralreckoning.bsky.social! 🔊👀

Excited to lead one of these projects with @sarabssethi.bsky.social! We’ll work on new algorithms for evolving neural network architectures. 🚀🌝

Looking for an exciting fellowship in AI & Neuro, with competitive salary (~£100k)? We got a new position in the lab at Oxford, working with @somnirons.bsky.social and me! 🧪 Our project: encode.pillar.vc/projects/beh... General info: encode.pillar.vc #compneuro #neuroai #neuroscience #sciencejobs

How can we explore the space of computational models in #neuroscience 🧠? Picture a mouse navigating an environment with light and dark areas. 🧵1/10

Abstract submission is open for UK Neural Computation 2025 @ Imperial College (9-11 July) neuralcomputation.uk/submission.h... Deadline: 12 May Please share All info: neuralcomputation.uk Sponsors: ARIA; Francis Crick Institute Organisers: @danakarca.bsky.social @neuralreckoning.bsky.social

Many neuroscience students are steeped in an experiment-first style of thinking that leads to “random walk science.” Let’s not forget how theory can guide experiments towards deeper insights, writes @gershbrain.bsky.social. #neuroskyence www.thetransmitter.org/theoretical-...

Scientific data and independence are at risk: We need to work with community-driven services and university libraries to create new multi-country organizations that are resilient to political interference. By @neuralreckoning.bsky.social #neuroskyence www.thetransmitter.org/policy/scien...

📢 Applications Open Soon for Neuromatch Academy! ✨ Whether you're diving into CN, DL, Climate, or NeuroAI, this is your chance to learn from top experts, collaborate with a global community, and gain hands-on experience. buff.ly/3PaEQys #neuro #ScienceEd #ClimateScience #AI #MLSky #compneurosky

For our next UCL #NeuroAI online seminar, we are happy to be hosting Dr Dan Goodman @neuralreckoning.bsky.social (@imperialcollegeldn.bsky.social). 🗓️Wed 12 Feb 2025 ⏰2-3pm GMT Talk title: Neural architectures: what are they good for anyway?

How should we design experiments in computational neuroscience? This great paper focusses on "empirical design in reinforcement learning", but the ideas are generally applicable! Here are some of their suggestions with a running example: arxiv.org/abs/2304.01315

🤖 🧠 🧪 New #Preprint Alert! Imagine AI systems that can learn and adapt on-chip while displaying minimal energy usage. We've just made a step towards unlocking the final piece of the puzzle needed to deploy neuromorphic at scale using SpiNNaker2! (1/8) arxiv.org/abs/2412.15021

We are hosting UKNC 2025 @ imperial! 💥 Fantastic set of speakers, see at neuralcomputation.uk Super exciting time to be working at the intersection of comp neuro/AI & applications. Save the dates: 9th July - ECR day 10th & 11th July - Main event Any questions get in touch! Plz share!

Great to see this paper in it's final form! It asks the super interesting question: 🧠 If a network is structurally modular 🦾 Will it be functionally modular ➕ What is the relation between structural and functional modularity? From @solarpunkgabs.bsky.social and @neuralreckoning.bsky.social.

New preprint from me, @swathianil.bsky.social & @neuralreckoning.bsky.social. We consider how animals should combine multisensory signals in the naturalistic case where: ✅ Signals are sparse. ✅ Signals arrive in bursts. ✅ Sensory channels are correlated. To do so, we compare several models (🧠):

Join us in Zambia for the third TReND-CaMinA course: computational neuroscience & machine learning in Africa. 📆Applications open until 15.01. 🧠🧪 trendinafrica.org/trend-camina/

Cutting it a bit fine, but here’s my review of the year in neuroscience for 2024 The eighth of these, would you believe? We’ve got dark neurons, tiny monkeys, the most complete brain wiring diagram ever constructed, and much more… Published on The Spike Enjoy! medium.com/the-spike/20...

As always, @melaniemitchell.bsky.social is clear and insightful!

Did you know that Claude Shannon also developed maze solving algorithms? Which he implemented physically using a wooden mouse named Theseus. To solve a given maze, on a grid, Theseus used two modes: 🧵

We made a starter pack for the I-X Community on Bluesky! Follow us for the updates in AI, ML, Robotics, and other exciting research areas. go.bsky.app/fw7xiK #AI #ML #Statistics #Robotics #Research #Interdisciplinary

I started a Multisensory People list so if you know anyone who does/likes multisensory research please let me know and I'll add them go.bsky.app/Gn1qnNp

Recently stumbled upon this paper again and these plots from @jascha.sohldickstein.com still just look amazing! Imagine we could do these kind of parameter landscapes in all of #compneuro and #neuroAI !

Bluesky intro, you might know me from: 1 Lecturing Maths and Stats at TU Dublin 2 My research, especially visual-vestibular processing 3 my work with @neuromatch.bsky.social 4 my #scicomm work 5 the FENS Comms com. 6 or just being a human but if you don't that's grand as well. Hi

**Introduction** I'm a computational neuroscientist (postdoc) at Imperial I-X; working with @neuralreckoning.bsky.social. I use neural network models to explore how the brain combines information across multiple senses (multisensory integration). 3 things I've worked on recently are (🧵):