CNS*2026 just kicked off with a great keynote by Bratislav Misic. @cnsorg.bsky.social in a great setting at Halifax.
Thomas Nowotny
@drtnowotny.bsky.social
Professor of Informatics at the University of Sussex, Brighton, UK. President of @cnsorg.bsky.social I do research in bio-inspired AI and computational neuroscience. See more at https://profiles.sussex.ac.uk/p206151-thomas-nowotny/about
Very nice paper that came out of a new collaboration between @jsenk.bsky.social and @neworderofjamie.bsky.social we started a while ago. Structural plasticity helps strike the balance between using sparse connectivity (*not* full matrices with loads of zeros) and being able to change it on the go.
New paper out at iopscience.iop.org/article/10.1... with @jsenk.bsky.social & @drtnowotny.bsky.social. We present what I think is the first framework for flexibly implementing GPU-accelerated structural plasticity rules (in GeNN obvs!) and demonstrate it with DEEP-R & topographic map formation.
Happy to share our preprint on ephaptic interactions between olfactory receptor neurons in Drosophila by Lydia Ellison. doi.org/10.64898/202... We set out to see how near-instantaneous electrical interactions are good for processing tiny odour onset delays, only to find that they weren't.
History-dependent ephaptic interactions in paired olfactory receptor neurons
Olfactory sensing begins with the transduction of odors into receptor currents on the dendrites of olfactory receptor neurons (ORNs). In insects and many other arthropods, ORNs are grouped stereotypically in hair-like sensilla on the surface of olfactory organs, enabling mutual inhibition through non-synaptic 'ephaptic' interactions (NSIs). Given the electrical, and therefore virtually instantaneous, nature of NSIs, it has been hypothesized that they contribute to processing fast temporal elements of mixed odor plumes. Here, we present single sensillum recordings and computational modeling that characterize NSIs during short offset dual-odor stimulations in the olfactory sensilla of adult female Drosophila melanogaster. We find in the experiments that the magnitude of inhibition between co-housed ORNs cannot be predicted by their instantaneous activity (firing rate) alone. It is adaptation-dependent, with strong effects only occurring when the inhibited ORN is adapted. This limits the usefulness of NSIs for fast odor processing when ORNs lack time to adapt. We reproduced the observed phenomena in a computational model and use this model to explain how the adaptation-dependence of NSI-mediated inhibition arises from nonlinearities in neural responses. We conclude that NSIs are unlikely to support the encoding of fast temporal dynamics in mixed odor stimuli, instead contributing to slower peripheral processing, supporting roles such as novelty detection. More broadly, we demonstrate how the nonlinear interactions of fairly simple electrical components lead to non-intuitive results, offering insight into the longstanding debate around ephaptic interactions in other systems, such as the mammalian CNS. ### Competing Interest Statement The authors have declared no competing interest. Leverhulme Trust, https://ror.org/012mzw131, RPG-2019-232 Engineering and Physical Sciences Research Council, https://ror.org/0439y7842, EP/P006094/1, EP/S030964/1
doi.org
Happy to share our preprint with @neworderofjamie.bsky.social , @danakarca.bsky.social and @drtnowotny.bsky.social ! We’ve been working on a neuron position learning algorithm by coupling space and time! See manuscript below 👇
Excited to see the paper fully published. It's an important milestone for training SNNs with exact gradients, replacing our earlier tricks of a "delay line augmentation" to capture temporal relationships. Delays can now be learnt alongside weights naturally. Amazing work @mbalazs98.bsky.social !
Our paper on event-based delay learning is now published! @neworderofjamie.bsky.social @drtnowotny.bsky.social TL;DR: It’s now possible to train synaptic delays in large-scale spiking neural networks with high temporal precision—even in recurrent connections. www.nature.com/articles/s41...
If you're interested in doing a PhD at Sussex, lots of exciting PhD project ideas at www.sussex.ac.uk/research/cen... including several Spiking Neural Network projects with myself and @drtnowotny.bsky.social . Funding available via www.sussex.ac.uk/study/fees-f... or www.sussex.ac.uk/study/fees-f...
Project suggestions : Sussex AI PhD Programme : ... : AI Research Group : University of Sussex
sussex.ac.uk
Excellent paper and great new project. Very interesting how the race of technology between GPU and FPGA shapes up.
Belated exciting news! First paper from my new(ish) project with the very talented Zainab Aizaz is out at ieeexplore.ieee.org/document/110.... Results from the first prototype of our fully-programmable FPGA-based SNN accelerator, showing off its stochastic rounding capabilities and speediness.
Strong results on Speech commands with GLE presented by Paul Haider at #cns2025florence today . @cnsorg.bsky.social
And we are off - excited that #cns2025florence is under way with record attendance - first keynote starts in 5 minutes.
Very excited by our new Sussex AI promotional video www.youtube.com/watch?v=D5dS...
Towards a Better Future: How Sussex Students are Using AI to Change the World!
YouTube video by University of Sussex
youtube.com
Posting this after some recent conversations with potential international applicants - still time to apply to our Masters courses and International PhD Academy for 2025 entry - join the diverse and vibrant Neuroscience community on our beautiful campus next to Brighton
Want to join our vibrant postgrad community? Discover all our Neuroscience courses here: www.sussex.ac.uk/study/subjects/neuroscience Including: 🏫 International PhD Academy 🏫 Masters courses 🏫 Opportunities across several schools: Life Science; Psychology; Computer Science & AI; and BSMS
... and you can see the great lineup of tutorials and workshops here: ocns.memberclicks.net/cns-2025-mee... Of course, tutorial and workshop registration can also be added later if you have already registered for the main meeting. @cnsorg.bsky.social
The deadline is tomorrow - last push! @cnsorg.bsky.social
Only 5 days to go to the (extended) deadline. Make them count. A great lineup of keynotes, tutorials and workshops is secured - add your research as an oral or poster by submitting an abstract.
Abstract submission is open for the 34th Annual Computational Neuroscience Meeting CNS*2025 in Florence, Italy, July 5-9, 2025! Submit your abstract latest March 15th: www.cnsorg.org/cns-2...
@drtnowotny.bsky.social and I are again participating in Google Summer of Code under the @incforg.bsky.social. We have 3 paid projects involving GeNN for contributors with a range of skills and experience levels. If you're interested, please get in touch via the forums linked from the thread:
Call for Abstracts: 34th Annual Computational Neuroscience Meeting, CNS*2025 🌟 📍 Join us in Florence 🇮🇹 July 5-9, 2025! 🧠✨ 🗓️ Abstract Deadline: March 11, 2025 🔗 Submit here: www.cnsorg.org/cns-2025-abs... 📚 Workshops: www.cnsorg.org/cns-2025-cal... 🎓 Tutorials: www.cnsorg.org/cns-2025-cal...
CNS 2025 Abstract Submission
cnsorg.org
This is awesome work from Balazs! Not only does our Eventprop-based method supports multiple spikes per neuron and recurrent connectivity but uses less than half the memory of the current state-of-the-art delay-learning method and is up to 26x faster.
New preprint out with @drtnowotny.bsky.social and @neworderofjamie.bsky.social arxiv.org/abs/2501.07331
Wikipedia is one of the last major bastions of verified information. Which, of course, is why the oligarchs want to destroy it. You can donate to them here. donate.wikimedia.org/w/index.php?...
Make your donation now - Wikimedia Foundation
Donate to the Wikimedia Foundation, the nonprofit that hosts Wikipedia and other crucial free knowledge projects. Each year, the generosity of the 2% of readers who donate allows us to expand the reac...
donate.wikimedia.org
having succeeded in purchasing positions of influence inside the White House, the billionaires and tech VCs have now set their sights back on Wikipedia
Just out in J Neuromorph Comput & Eng: Loss shaping enhances exact gradient learning with Eventprop in Spiking Neural Networks doi.org/10.1088/2634.... With @neworderofjamie.bsky.social. We report how Eventprop scales to harder learning tasks. TL;DR: It works great but not without extra effort. 🧪🧵
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks - IOPscienceSearch
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks, Nowotny, Thomas, Turner, James P, Knight, James C
doi.org
"A study of federally funded research projects in the United States estimated that principal investigators spend on average about 45% of their time on administrative activities related to applying for and managing projects rather than conducting active research" www.pnas.org/doi/10.1073/...
We are proposing PhD project ideas along these lines:
More exciting opportunities for fully-funded PhDs with @sussexai.bsky.social on topics including Event-based machine learning and neuromorphic computing with me and @drtnowotny.bsky.social. www.sussex.ac.uk/study/fees-f...
More than 60 German-speaking universities and research institutes have just jointly announced they will cease activities on X because “the current orientation of the platform is not compatible with their core values” incl. scientific integrity, transparency and democratic discourse” 🧪
New paper on spike sorting www.sciencedirect.com/science/arti... with Lydia Ellison, Georg Raiser, Alicia Garrido Peña and George Kemenes. TL;DR: SSSort software now handles overlapping spikes in addition to the extreme spike shape changes it was already good at. github.com/grg2rsr/SSSort
First paper by our excellent PhD student @mbalazs98.bsky.social on trying to unpick the relation between delay learning and structural plasticity in SNNs and visualise what gets learned www.frontiersin.org/articles/10....
Frontiers | Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks
frontiersin.org
💯 Hallucination is totally the wrong word, implying it is perceiving the world incorrectly. But it's generating false, plausible sounding statements. Confabulation is literally the perfect word. So, let's all please start referring to any junk that an LLM makes up as "confabulations".
petition to change the word describing ChatGPT's mistakes from 'hallucinations' to 'confabulations' A hallucination is a false subjective sensory experience. ChatGPT doesn't have experiences! It's just making up plausible-sounding bs, covering knowledge gaps. That's confabulation
Here is another way to apply to join our group. Deadline 13 January.
Our Sussex Neuroscience 4-year PhD Programme is open for applications! Deadline Jan 13th, for Sept 2025 entry. Brilliant community of students and supervisors, and a choice of >60 labs for rotations- come and join us by the sea! www.sussex.ac.uk/research/cen...
Sussex AI, the multi-disciplinary centre of things AI and data science at University of Sussex is now also on BlueSky: @sussexai.bsky.social
If you're interested in a PhD in the AI centre of excellence at Sussex, now's your chance! lncluding several Spiking Neural Network project suggestions from @drtnowotny.bsky.social and I!
We’ve just announced this year’s call for applications to our Sussex AI PhD studentships at the University of Sussex! You can find all the details www.sussex.ac.uk/study/fees-f.... This year we’ve included a few suggested project directions to give some inspirations tinyurl.com/2e3mxbch.
Sharing this again, in case anyone has only read the first side of the arguments here. So much noise and conclusion jumping out there. Read on: @garymarcus.bsky.social open.substack.com/pub/garymarc...
Hard-forked! Casey Newton’s distorted portrait of Gary Marcus and AI skepticism
What Casey Newton’s new essay skewering AI skepticism does—and does not—get right
open.substack.com