Reminder everyone, the SNUFA spiking neural network workshop abstract submission deadline is end of next week! Get your abstracts in, and register for the event too. 🤖🧠🧪 #Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

Dan Goodman@neural-reckoning.org · last mo.

#SpikingNeuralNetwork people - this year's SNUFA workshop is live! Talks by: ⭐ Eugene Izhikevich ⭐ @giuliadangelo.bsky.social ⭐ Mihai Petrovici ⭐ Susanne Schreiber Submit your abstracts by Sept 25th. Registration is open! More info at: snufa.net/2026/ cc @fzenke.bsky.social @albada.bsky.social

Gave a talk at the @crick.ac.uk on "Does heterogeneity help the brain and how could we know if it did?" part of a series we organised with @marcusghosh.bsky.social. It was fun to present work aimed at generating discussion. neural-reckoning.org/talk_2026_cr...

Does heterogeneity help the brain and how could we know if it did?

neural-reckoning.org

Lots of science happens at talks, and if you're not there you don't get to see what's happening. I find that this excludes lots of people, and isn't fair. So, from now on I'll try to upload all my talk slides at least to my website (videos when available): neural-reckoning.org/talks.html

Talks

neural-reckoning.org

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...

Neuromodulation enhances the capability and efficiency of spiking neural networks

Spiking neurons underlie the brain’s extreme energy efficiency, and therefore have great potential in neuromorphic computing, although realising this efficiency in practice has proven challenging. We ...

biorxiv.org

New neuromorphic/SNN paper with @pengfei-sun.bsky.social Zhe Su, @achterbrain.bsky.social @giacomoi.bsky.social and @danakarca.bsky.social: www.nature.com/articles/s42... Long story short: neat trick to augment SNNs with a tiny memory buffer to improve performance at low energy/param cost. 🤖🧠🧪

Really enjoyed teaching students as part of the African Computational Neuroscience Educational Initiative (www.acnei.org)! Looking forward to @trendcamina.bsky.social soon too

We're hiring for a project on #SpikingNeuralNetworks and #neuromorphic computing, to start in October this year, for 36 months. Can hire at pre- or post-PhD level. Email me informally, or apply at the link below. Share with your networks / anyone who would be interested. 🤖🧠🧪

George A. Constantinides@gconstantinides.bsky.social · 6mo ago

Interested in a PhD or postdoc in digital neuromorphic computing? @neural-reckoning.org, Christos Bouganis and I are recruiting! Please share with anyone who may be interested. Applications close on 15 May 2026. www.imperial.ac.uk/jobs/search-...

Interested in a PhD or postdoc in digital neuromorphic computing? @neural-reckoning.org, Christos Bouganis and I are recruiting! Please share with anyone who may be interested. Applications close on 15 May 2026. www.imperial.ac.uk/jobs/search-...

Description

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities ment...

imperial.ac.uk

Had great fun discussing some recent work and the value of toy models in neuroscience last night! Our next workshop will be: * 16.04 * 16-20:30 * At the Crick Sign up (for free) and come along! www.eventbrite.co.uk/e/understand...

Marcus Ghosh@marcusghosh.bsky.social · 8mo 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...

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! 🤖🧠🧪

Marcus Ghosh@marcusghosh.bsky.social · 8mo 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-...

Brains have many pathways / subnetworks but which principles underlie their formation? In our #NeurIPS paper lead by Jack Cook we identify biologically relevant inductive biases that create pathways in brain-like Mixture-of-Experts models🧵 #neuroskyence #compneuro #neuroAI arxiv.org/abs/2506.02813

With my great advisors and colleagues, @achterbrain.bsky.social @zhe @danakarca.bsky.social @neural-reckoning.org, we show that if heterogeneous axonal delays (imprecise) can capture the essential temporal structure of a task, spiking networks do not need precise synaptic weights to perform well.

Dan Goodman@neural-reckoning.org · 11mo ago

Psst - neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kb of parameter memory by quantising weights and delays? Check out our preprint with @pengfei-sun.bsky.social and @danakarca.bsky.social, or read the TLDR below. 👇🤖🧠🧪 arxiv.org/abs/2510.27434

Psst - neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kb of parameter memory by quantising weights and delays? Check out our preprint with @pengfei-sun.bsky.social and @danakarca.bsky.social, or read the TLDR below. 👇🤖🧠🧪 arxiv.org/abs/2510.27434

Exploiting heterogeneous delays for efficient computation in low-bit neural networks

Neural networks rely on learning synaptic weights. However, this overlooks other neural parameters that can also be learned and may be utilized by the brain. One such parameter is the delay: the brain...

arxiv.org

Talks from #SNUFA 2025 are now available on YouTube: youtube.com/playlist?lis... 🤖🧠🧪

SNUFA 2025 Workshop - YouTube

Spiking neural networks as universal function approximators (SNUFA) online workshop 2025. For more see http://snufa.net/2025/

youtube.com

Interested in #neuroscience + #AI and looking for a PhD position? I can support your application @imperialcollegeldn.bsky.social ✅ Check your eligibility (below) ✅ Contact me (DM or email) UK nationals: www.imperial.ac.uk/life-science... Otherwise: www.imperial.ac.uk/study/fees-a...

Spiking NN fans - the #SNUFA workshop (Nov 5-6) agenda is finalised and online now. Make sure to register (free) soon. (Note you can register for either day and come to both.) Agenda: snufa.net/2025/ Registration: www.eventbrite.co.uk/e/snufa-2025... Thanks to all who voted on abstracts! 🤖🧠🧪

Message for participants of the #SNUFA 2025 spiking neural network workshop. We got almost 60 awesome abstract submissions, and we'd now like your help to select which ones should be offered talks. Follow the "abstract voting" link at snufa.net/2025/ to take part. It should take <15m. Thanks! ❤️

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...

Neuromodulation enhances dynamic sensory processing in spiking neural network models

Neuromodulators allow circuits to dynamically change their biophysical properties in a context-sensitive way. In addition to their role in learning, neuromodulators have been suggested to play a role ...

biorxiv.org

In our latest “This paper changed my life,” @neural-reckoning.org explains how @fzenke.bsky.social's 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. #neuroskyence www.thetransmitter.org/this-paper-c...

This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks

Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.

thetransmitter.org

Submissions (short!) due for SNUFA spiking neural networks conference in <2 weeks! 🤖🧠🧪 forms.cloud.microsoft/e/XkZLavhaJe More info at snufa.net/2025/ Note that we normally get around 700 participants and recordings go on YouTube and get 100s-1000s views. Please repost.

Is anarchist science possible? As an experiment, we got together a large group of computational neuroscientists from around the world to work on a single project without top down direction. Read on to find out what happened. 🤖🧠🧪

Yeah robots are definitely not taking over the world. Not the red one, at least. 🤣

Spiking neural networks people, this message is for you! The annual SNUFA workshop is now open for abstract submission (deadline Sept 26) and (free) registration. This year's speakers include Elisabetta Chicca, Jason Eshraghian, Tomoki Fukai, Chengcheng Huang, and... you? snufa.net/2025/ 🤖🧠🧪

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

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-...

Description

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities ment...

imperial.ac.uk

Together with my supervisor and the Neural Reckoning team neuralreckoning.bsky.social, we’ve developed a new SHD/SSC variant that strips out rate information but spike‑timing information—designed to really challenge SNNs. Your feedback is welcome—let us know how it performs in your models!

GitHub - neural-reckoning/temporal-shd: Variant of the SHD dataset with only timing information retained

Variant of the SHD dataset with only timing information retained - neural-reckoning/temporal-shd

github.com

Dan Goodman@neural-reckoning.org · last yr.

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! 🧵👇 🤖🧠🧪

Fusing multisensory signals across channels and time. Now published at PLOS Comp Biol! 🎉 With @swathianil.bsky.social and @marcusghosh.bsky.social. journals.plos.org/ploscompbiol... TLDR, when multisensory signals vary over time, neural architecture becomes important. Biggest not always best.

Fusing multisensory signals across channels and time

Author summary We constantly detect sensory inputs, like sights and sounds, and use combinations of these signals to guide our actions. For example, by reading someone’s lips we can better converse wi...

journals.plos.org

Dan Goodman@neural-reckoning.org · 2y ago

New preprint 🤖🧠🧪! With @swathianil.bsky.social and @marcusghosh.bsky.social. If you want to get the most out of a multisensory signal, you should take it's temporal structure into account. But which neural architectures do this best? 🧵👇 www.biorxiv.org/content/10.1...